Biblioteca IA industrial
IA Industrial
Coleccion curada de whitepapers y estudios tecnicos para soportar decisiones de implantacion con criterio industrial.
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Industrial Visual Defect Detection Review
Revision de metodos de vision para inspeccion de defectos en manufactura, incluyendo robustez en planta.
Image Anomaly Detection in Manufacturing
Survey de tecnicas de anomaly detection visual y brechas de despliegue industrial.
IM-DETR: DETR with Mix-Encoder for Industrial Scenarios
Industrial defect detection is a fundamental task in intelligent manufacturing, yet existing object detection methods often struggle with the characteristics of industrial defects, such as small size, irregular shapes, a...
Examples of New Applied Methods for Maintenance and Inspection of Dry Storage Systems
The Coordinated Research Projects (CRPs) of the International Atomic Energy Agency (IAEA) are a powerful tool for engaging multiple countries that operate spent fuel storage facilities to address important safety issues ...
Super-resolution approach tailored for wafer transmission electron microscopy images
High-resolution wafer transmission electron microscopy (TEM) images are essential for nano-level analysis in semiconductor manufacturing. Although super-resolution offers significant potential for obtaining high-resoluti...
Comparison of measurement techniques for evaluating the quality of 3D printed products using the analytic hierarchy process
The aim of this study is to demonstrate that popular measurement techniques -visual inspection, mechanical tools (digital calliper and steel linear ruler) and modern photogrammetry -can be used to detect shrinkage in 3D ...
Insulator string defect detection method for transmission lines based on image color analysis and multi-scale feature compensation
High-voltage overhead transmission line insulator strings are persistently exposed to harsh environments such as heavy rain, lightning, strong ultraviolet radiation, and significant temperature variations, which can read...
Diamond-DETR: lightweight real-time quality evaluation algorithm for synthetic diamonds
Synthetic diamonds are prone to subtle defects during the manufacturing process, which can significantly impact their quality grading and market value. Due to the highly symmetrical and complex geometric structures of sy...
LangFabric: A Language-Annotated Multimodal Fabric Dataset for Fabric Defect Detection
Fabric defect detection plays a critical role in intelligent textile manufacturing, where reliable identification of surface anomalies is essential for maintaining product quality and production efficiency. Although nume...
Steel Surface Defect Detection Based on Improved YOLOv8 with Multi-Scale Feature Fusion and Attention Mechanism
Identifying microscopic textural anomalies and filtering out complicated industrial background noise remain significant hurdles in inspecting metallic surfaces. To tackle these operational bottlenecks, our research intro...
PCB-YOLOV8X: a network for detecting micro-sized defects on PCB surfaces based on enhanced feature information
To address the challenges in PCB surface defect detection, including high labor costs, low detection efficiency, and insufficient detection accuracy, this study innovatively proposes a PCB surface micro-defect detection ...
Towards Reliable Power Grid Modeling from Drawings: A Review of Intelligent Understanding, Topology Inference, and Model Generation
This paper presents a comprehensive review of the intelligent understanding of power grid drawings, with the aim of enabling reliable and executable grid modeling. First, a unified pipeline is established to describe the...
Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automated Visual Defect Classification for Flat Steel Surface: A Survey
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Defect detection of injection molding products on small datasets using transfer learning
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A High-Performance Deep Learning Algorithm for the Automated Optical Inspection of Laser Welding
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturing
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A novel approach for surface defect detection of lithium battery based on improved K-nearest neighbor and Euclidean clustering segmentation
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Improved YOLOV4-CSP Algorithm for Detection of Bamboo Surface Sliver Defects With Extreme Aspect Ratio
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A two-stage CNN for automated tire defect inspection in radiographic image
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automated detection of textured-surface defects using UNet-based semantic segmentation network
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Progressive refined redistribution pyramid network for defect detection in complex scenarios
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Cognitive visual anomaly detection with constrained latent representations for industrial inspection robot
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
An unsupervised defect detection model for a dry carbon fiber textile
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Synthetic data augmentation for high-resolution X-ray welding defect detection and classification based on a small number of real samples
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
LoHi-WELD: A Novel Industrial Dataset for Weld Defect Detection and Classification, a Deep Learning Study, and Future Perspectives
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
An Autonomous Robotic Platform for Manipulation and Inspection of Metallic Surfaces in Industry 4.0
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Industrial Weak Scratches Inspection Based on Multifeature Fusion Network
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automatic pixel-level detection of tire defects based on a lightweight Transformer architecture
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Using SegFormer for Effective Semantic Cell Segmentation for Fault Detection in Photovoltaic Arrays
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Robotic Defect Inspection with Visual and Tactile Perception for Large-Scale Components
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Study on the Effect of Defect Shape on Defect Detection in Visual Inspection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
High-Performance Defect Detection Methods for Real-Time Monitoring of Ceramic Additive Manufacturing Process Based on Small-Scale Datasets
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human effort
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Enhanced defect detection on steel surfaces using integrated residual refinement module with synthetic data augmentation
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Robust Inspection of Micro-LED Chip Defects Using Unsupervised Anomaly Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Validating the Use of Smart Glasses in Industrial Quality Control: A Case Study
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Recent Advancements in Machine Vision Systems for Industrial Defect Detection: A Review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
State of the Art in Defect Detection Based on Machine Vision
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Quality inspection of specific electronic boards by deep neural networks
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Tire Defect Detection via 3D Laser Scanning Technology
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Validating the Use of Mixed Reality in Industrial Quality Control: A Case Study
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Wood veneer surface manufacturing defects —prevalence in Malaysian industry and human baseline defect detection performance
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Smart Image Inspection using Defect-Removing Autoencoder
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Deep Learning Framework for Steel Surface Defects Classification
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Defects Localization in Images Using Deep Learning-Based Classification with CAM Output
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
VMAD: Visual-Enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Defect Detection Model for Casting Product using Wavelet Transform Denoise and Xception
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automatic Visual Inspection for Industrial Application
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Efficient Method Using Attention Based Convolutional Neural Networks for Ceramic Tiles Defect Classification
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Zero-error-production through inline-quality control of presshardened automotive parts by multi-camera systems
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Defect detection in wrap film product using compact convolutional neural network
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Comprehensive inspection of refrigerated ammonia storage tank welded joints by the metal magnetic memory technique and conventional NDT methods
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Hybrid Learning Driven by Dynamic Descriptors for Video Classification of Reflective Surfaces
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Visual inspection of mechanical components using visual imaging and machine learning
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
X-ray computed tomography
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Efficient surface defect detection in industrial screen printing with minimized labeling effort
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Fabric Defect Segmentation Model Based on Improved Swin-Unet with Gabor Filter
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Industrial Application of AI-Based Assistive Magnetic Particle Inspection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
IDDM: An incremental dual-network detection model for in-situ inspection of large-scale complex product
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Few-shot Learning Method for the Defect Inspection of Lithium Battery Sealing Nails
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automated Visual Defect Detection for Flat Steel Surface: A Survey
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Machine learning in additive manufacturing: State-of-the-art and perspectives
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
MobileNetV2-based Transfer Learning Model with Edge Computing for Automatic Fabric Defect Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Reinforcement Learning of a Six-DOF Industrial Manipulator for Pick-and-Place Application Using Efficient Control in Warehouse Management
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Enhancing Industrial PCB and PCBA Defect Detection: An Efficient and Accurate SEConv-YOLO Approach
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Tyre Defect Detection using Deep Learning Technique
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Trusty Visual Intelligence Model for Leather Defect Detection Using ConvNeXtBase and Coyote Optimized Extra Tree
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Towards More Accurate Industrial Anomaly Detection: A Component-Level Feature-Enhancement Approach
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Research on gear flank surface defect detection of automotive transmissions based on improved YOLOv8
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
TDD‐net: a tiny defect detection network for printed circuit boards
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
YOLOv4 Object Detection Model for Nondestructive Radiographic Testing in Aviation Maintenance Tasks
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Robotic Defect Inspection with Visual and Tactile Perception for Large-scale Components
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Circle detection method based on contour extraction and rule verification
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automatic detection surface defects based on convolutional neural networks and deflectometry
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Deep Industrial Image Anomaly Detection: A Survey
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Digital twin-based sustainable intelligent manufacturing: a review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Ball-Grid-Array Chip Defects Detection and Classification Using Patch-based Modified YOLOv3
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
DETECTION OF ANOMALIES ON THE SURFACE OF WORKPIECES PRODUCED ON CNC MACHINES
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Detection of PCB Surface Defects With Improved Faster-RCNN and Feature Pyramid Network
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Computer vision in industry: an applied study on autonomous visual: inspection of industrial processes
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Automated Machine Vision Inspection System for Applying Plastic Lids on Wet Wipes Packs
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Accurate industrial anomaly detection with efficient multimodal fusion
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
MSFT-YOLO: Improved YOLOv5 Based on Transformer for Detecting Defects of Steel Surface
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Successes and challenges in non-destructive testing of aircraft composite structures
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A Unifying Review of Deep and Shallow Anomaly Detection
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Review of degradation and failure phenomena in photovoltaic modules
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Structural Health Monitoring for Advanced Composite Structures: A Review
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Surface Defect Detection of Aluminum Material based on Deep Learning
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A multimodal deep learning framework for real-time defect recognition in industrial components using visual, acoustic and vibration signals
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Artificial intelligence to enable smart prognostics and health management of manufacturing systems for industry 4.0
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Artificial Intelligence-Based Smart Quality Inspection for Manufacturing
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
MDC-Net: Multimodal Detection and Captioning Network for Steel Surface Defects
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Quality control and inspection reliability of the PCB manufacturing process through convolutional networks
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
DEIM-SFA: A Multi-Module Enhanced Model for Accurate Detection of Weld Surface Defects
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
Estudio aplicado a entornos industriales sobre calidad, con foco en despliegue operativo y resultados medibles en planta.
Datos
Sensor Drift Compensation
Metodos para detectar y compensar drift de sensores, clave para mantener fiabilidad de modelos IA.
Adversarial Heterogeneous Agent Learning for Robotic Systems: A Framework for Coordinated Competitive Behaviors
Autonomous robot teams must move reliably, explain their actions, and work together—even in changing or adversarial settings. We present a structured, three-stage pathway that builds coordinated team behavior from strong...
Multi-Partner project: dAIEDGE - A network of excellence for distributed, trustworthy, efficient and scalable AI at the edge
International audience
GazeZoom: Exploration of Gaze-Assisted Multimodal Techniques for Panning and Zooming
Estudio tecnico aplicado a entorno industrial y operaciones de planta.
Visualization of Tracking Uncertainty in AR-based Surgical Guidance
International audience
GazeZoom:Exploration of Gaze-Assisted Multimodal Techniques for Panning and Zooming
Figure 1: GazeZoom enables head-mounted display (HMD) users to zoom and pan content with a combination of their eye gaze and two-handed (left), one-handed (center), or hands-free head gestures (right).In each case, eye g...
Robot localization: a comprehensive survey from classical methods to intelligent autonomy
Building on previous surveys that often focus on specific components of robot localization, this work offers an integrated review spanning algorithmic estimators, mapping paradigms, and sensor modalities. The survey prop...
Enhanced Red-billed Blue Magpie Optimizer for engineering optimization problems
The design of efficient and robust metaheuristic algorithms remains a fundamental challenge in addressing complex optimization problems, particularly those involving high dimensionality, nonlinearity, and multimodal land...
Mobile high-resolution BTEX monitoring and seasonal cumulative health risks from BTEX and PM2.5-metals in a petrochemical complex
This study evaluated multi-pollutant exposure and health risks of benzene, toluene, ethylbenzene and xylene (BTEX) and PM2.5-bound heavy metals in the Ulsan Mipo National Industrial Complex, one of Korea’s largest petroc...
Integrating logigram–lgorigram systems in rechnical curriculum & engineering management/volume 3 annual report budget
<ns7:p> <ns7:bold>1. Abstract & Scope</ns7:bold> </ns7:p> <ns7:p> <ns7:bold>Abstract:</ns7:bold> This research develops an automated framework for managing the intersection of <ns7:bold>Marketing Research</ns7:bold> ...
Integrating logigram – algorigram systems in technical curriculum & engineering management/volume 5 report annual report budget
<ns7:p> <ns7:bold>1. Abstract & Scope</ns7:bold> </ns7:p> <ns7:p> <ns7:bold>Abstract:</ns7:bold> This research develops an automated framework for managing the intersection of <ns7:bold>Marketing Research</ns7:bold> ...
Energia
Deep Peak-Shaving Optimization
Optimizacion tecno-economica para estrategias de peak shaving en operaciones energeticas.
Peak Shaving with BESS
Analisis de control de picos con almacenamiento para reducir penalizaciones y coste.
Investigating the impact of electric vehicles on increasing the reliability of the distribution system using the enhanced gray wolf evolutionary algorithm model
This paper proposes a tri‑level optimization framework for the coordinated planning and operation of electric‑vehicle‑integrated distribution systems. The upper level optimizes charging‑station siting and sizing under in...
Unlocking electric vehicle flexibility in microgrids via lightweight on-charger coordination
Estudio tecnico aplicado a entorno industrial y operaciones de planta.
Optimal Joint Scheduling and Forecasting of Photovoltaic and Wind Power Generation Based on Transformer-BiLSTM
Addressing the challenge of coordinated dispatch between wind/solar and thermal power in new energy grids, this research proposes a thermal power unit output prediction method based on a Transformer-BiLSTM hybrid deep le...
The Application Progress of Artificial Intelligence Technology in The Optimal Dispatch of Smart Grids
With a high proportion of new energy sources connected to the power grid, the traditional dispatching model is facing severe challenges in dealing with uncertainties.To address this challenge, this article systematically...
A Multi-Attention Gated Fusion and Physics-Informed Model for Steam Turbine Regulating-Stage Fault Detection
The increasing proportion of renewable energy leads to frequent changes in turbine load, making the regulating stage more prone to degradation. Traditional anomaly detection methods lack sufficient sensitivity and genera...
Technological Advances in Energy Storage: Environmental and Cyber Challenges, Opportunities and Threats—A Review
Energy storage plays a key role in the energy transition by enabling the effective integration of variable renewable energy sources such as solar and wind power and by supporting the stability and flexibility of modern e...
Bridging control paradigms: a state-of-the-art review of grid-forming BESS-STATCOMs for enhanced power system stability
Power-electronic inverters play a central role in modern power systems due to the increasing penetration of renewable energy sources such as solar photovoltaics, wind generation, and battery energy storage. While this tr...
Research on Intelligent Load Optimization Technology for Distribution Networks Based on Distributed Collaborative Control
To address voltage over-limit and transformer overload issues in distribution grids caused by large-scale distributed PV integration, this paper proposes a distributed cooperative-based intelligent load optimization tech...
Multi-Timescale Optimal Scheduling of Rural Integrated Energy System with Electric Heating Considering Tiered Carbon Trading and Carbon Capture
Addressing the demand for clean heating transition in northern rural areas, this study tackles the challenges of coordinating source-load bilateral uncertainty from high-proportion electric heating and low-carbon operati...
Gemelo digital
Digital Twin Self-Learning and Decision
Propuesta de gemelo digital con aprendizaje y apoyo a decision antes de despliegue fisico.
Serious games and decision support tools: Supporting farmer decision making for land use net zero.
Significant land use change is needed if global net zero targets are to be met. This is likely to involve changes to the way that farmers operate. Farmers will need appropriate tools to make decisions that deliver net ze...
United Kingdom country note
c) 2 (c)-(a) (c)-(b) Italy 32% 91% 16 5 ..
Towards recommendations for owners and geotechnical designers for adaptation of geotechnical structures to climate change
International audience
LDG-PCGC: Lossless Dynamically Grouped Point Cloud Geometry Compression
International audience
AI-Driven Multi-Agent System for Autonomous Mining Operation Centers
International audience
Doctoral‑level training for fusion engineering::A UK case study to inform international workforce discussions
As fusion research programmes expand and pilot‑plant initiatives progress, there is a growing need to understand how to prepare engineers who can contribute across the lifecycle of fusion systems, from early‑stage design...
Managing the Invisible Factory: A Systems and Digital Perspective on Industrial Infrastructures
Estudio tecnico aplicado a entorno industrial y operaciones de planta.
Integrating Modeling & Simulation and Artificial Intelligence for Training and Decision-Support in Complex Systems
Port terminals and industrial plants represent some of the most complex and safety-critical operational environments within modern logistics and maritime infrastructures. Operators must perform tasks in dynamic contexts ...
A Semantic Approach for Digital Twin Cross‑Platform Interoperability: Challenges and Resolutions in AAS Data Integration
International audience
CRAFTER: causality-based self-adaptation for autonomous IoT systems
International audience
Integracion OT/IT
HYBRID INTEGRATION OF EXPERT SYSTEMS INTO AVIATION LOGISTICS MANAGEMENT STRUCTURES
In this study authors considered the integration of expert systems into management of aviation logistics. The complexity of this integration is in the management structures and in the context of the operational complexit...
Circular Warehouse Operations: ESG-Driven Optimization through Reusable Pallets
Materials management and quality management are critical for organizational efficiency and national economic development, especially in Cameroon, where their evolution has been shaped by colonial influences, economic ref...
Optimized maintenance of production systems via hierarchical and multi-criteria methods
In complex industrial systems, the implementation of effective maintenance strate- gies is crucial to ensure equipment availability, limit interruptions and reduce costs. Although preventive and corrective maintenance is...
Proceedings of the XII International Scientific and Practical Conference
Estudio tecnico aplicado a entorno industrial y operaciones de planta.
The digitalization status: a case study assessment and a comparative analysis
Digital transformation is widely considered the most significant structural challenge for companies’ business models. In this sense, it is important to assess the evolution of the digital transition, analyzing patterns, ...
Unravelling the Blockades in Implementing Large Language Models in Construction Sector
The adoption of text-based Generative AI (GenAI), especially Large Language Models (LLMs), offers promising opportunities for improving documentation, coordination, compliance, and decision-making in construction Operati...
Strategic orientation effects on Industry 4.0 base and front-end manufacturing technology adoption
Purpose For manufacturing firms, Industry 4.0 technologies comprise the two layers of base technologies (foundational blocks) and front-end technologies (advanced manufacturing technologies). Yet, most extant technology ...
Optimizing Predictive and Prescriptive Maintenance Using Unified Namespace (UNS) for Industrial Equipments
This paper proposes a new Unified Namespace (UNS)-based architecture to improve predictive and prescriptive maintenance of industrial equipment and overcome challenges such as incomplete data, poor interoperability, and ...
A study on Innovation Quality in the Digital Transformation process
In the context of global competition and rapid technological iteration, enhancing innovation quality has become a pressing issue for China’s manufacturing industry. Digital transformation, driven by emerging technologies...
Logistica interna
Production and AGV Collaborative Scheduling
Optimizacion conjunta de produccion y AGV con incertidumbre operativa.
Implementation of robotic workstations in internal enterprise logistics: analysis of efficiency, safety, and economic benefits in the context of Industry 4.0
The article addresses the implementation of robotic workstations in internal logistics with the aim of analysing the impact of automation on the efficiency of logistics processes and identifying key factors for the succe...
Design, Implementation, and Performance Optimization of a ROS Based Autonomous Mobile Robot for Intralogistics in Manufacturing Facilities
This article presents the development and optimization of a ROS-based Autonomous Mobile Robot (AMR) designed for intralogistics in manufacturing environments. By integrating robust mechanical design, advanced sensor fusi...
The Application of AI in Optimizing Fresh Food Logistics Routes
The fresh food logistics industry is confronted with inherent challenges, which stem from the perishability of products, strict quality requirements, and increasingly fragmented and dynamic demand patterns. Traditional l...
The Role of Digitalization in Implementing Green Logistics Principles in Warehousing Operations: A Case Study
Warehouses are energy-intensive nodes in a logistics chain and critical hotspots for decarbonization efforts. Digitalization and Industry 4.0 technologies are increasingly promoted as enablers of greener warehousing; how...
Energy Performance of a Gravity Flow Rack with Energy Recovery: Modelling and Validation
This paper presents a patented design of a gravity flow rack with an energy recovery system, intended for pallet storage in first-in–first-out (FIFO) and last-in–first-out (LIFO) modes. Compared with conventional flow ra...
<span class="word">Energy-<span class="word"><span class="changedDisabled">Aware <span class="word"><span class="changedDisabled">Spatio-<span class="word"><span class="changedDisabled">Temporal <span class="word"><span class="changedDisabled">Multi-<span class="word"><span class="changedDisabled">Agent <span class="word"><span class="changedDisabled">Route <span class="word"><span class="changedDisabled">Planning <span class="word">for <span class="word">AGVs
This article addresses the problem of finding the shortest route for Automated Guided Vehicles (AGVs) in a production environment with constrained battery state-of-charge (SoC) and time-dependent operating conditions. Th...
In control or under control? Human–robot collaboration in warehouse order picking
Purpose Warehouse operations are rapidly becoming more robotized to increase performance and reduce costs. A key innovation in the field is human–robot collaboration (HRC). Despite the essential role of human behavior in...
Optimal Planning of Routes, Schedules, and Charging Times of Automated Guided Electric Vehicles
In traditional industry setups, Automated Guided Vehicles (AGVs) follow trajectories planned together with the layout of the storage or production facility and supported by fixed markers on the floor or on the walls. Tra...
Autonomous Forklifts for Warehouse Automation: A Comprehensive Review
Despite decades of research, autonomous forklifts remain deployed at a small scale (2–50 vehicles), while industrial warehouses require coordinating hundreds of vehicles in environments shared with human workers. This sy...
Mantenimiento
Predictive Maintenance in Industry 4.0
Estado del arte de PdM en IoT industrial y recomendaciones para implementacion orientada a impacto.
Decision-Oriented Prognostics
Marco para convertir prediccion de fallo en decisiones de mantenimiento accionables.
An Attention-Augmented BiLSTM-LSTM Framework with Adaptive Noise for Turbofan Engine Remaining Useful Life Prediction
Abstract Unplanned failures of aircraft engines pose severe threats to flight safety and result in substantial economic losses, making accurate prognostic maintenance critical for the aviation industry. To address the ch...
Proceedings of the 3rd edition of the International e-Health Forum 2024
2025 at the Mohammed VI University of Health Sciences (UM6SS) in Casablanca.Held under the High Patronage of His Majesty King Mohammed VI, the event was co-organized by the Mohammed VI Foundation for Health and the e-Hea...
A Systematic Review of Symbolic Aggregate Approximation (SAX)
Time series data can be analyzed through various techniques to tackle classification or regression tasks. Symbolic Aggregate Approximation (SAX) is one such technique used for time series data reduction that converts the...
Data-Resilient Condition Monitoring of Gearbox using Adaptive Bayesian Regression
Estudio tecnico aplicado a entorno industrial y operaciones de planta.
Deep Learning Methods in Energy Systems: A Renewable Energy Perspective
This paper presents a comprehensive review of deep learning applications in energy systems with a particular focus on renewable-energy-based power systems. The rapid deployment of photovoltaic (PV) and wind generation in...
Remaining useful life prediction method based on gated dilation causal convolution
Rolling bearings are a crucial element of rotating mechanical equipment. Therefore, predicting the remaining useful life (RUL) of this equipment is vital. Monitoring data for rolling bearing operation usually consists of...
Методика вибору робаÑтних моделей вібродіагноÑтики за доменного зÑуву та шуму міток
У Ñтатті розглÑнуто проблему Ð·Ð½Ð¸Ð¶ÐµÐ½Ð½Ñ ÑкоÑÑ‚Ñ– моделей машинного Ð½Ð°Ð²Ñ‡Ð°Ð½Ð½Ñ Ð´Ð»Ñ Ð²Ñ–Ð±Ñ€Ð¾Ð´Ñ–Ð°Ð³Ð½Ð¾Ñтики вузлів мобільних машин за умов доменного зÑуву (зміна режимів роботи, навантаженнÑ, Ñтендових/польових умов, датчиків) та шуму ...
A Multimodal Time-Frequency Fusion Architecture for FaultDiagnosis in Rotating Machinery
Accurate fault diagnosis of rotating machinery in complex industrial environments demands an optimal trade-off between feature representation capability and computational efficiency. Existing single-modality models relyi...
Service-Oriented Architecture for Decision Support in Industrial Life-Cycle Management: Design, Implementation, and Evaluation
Manufacturing enterprises face increasing complexity in managing the complete life cycle of production systems, requiring integration of information from diverse sources to support timely maintenance, diagnostics, and op...
Operaciones
Cross-Format RAG for Maintenance
RAG multi-formato para asistentes de mantenimiento con contexto y fuentes trazables.
RAGVA Engineering Framework
Framework para asistentes de ingenieria basados en RAG y validacion automatizada.
Progress of major emitters towards climate targets: 2025 Update
Assuming full implementation of existing policies, our current policies scenario projects a reduction in emissions by 2035 in its lower projection, whereas it results in a 'plateauing' of the emission trajectory in its h...
Business Model Innovation among Startups and Its Future Research Trends: A Systematic Review and Bibliometric Analysis of Relevant Literature
This paper explores the potential of renewable energy technologies and smart grids to drive a transformative shift in the energy landscape. Drawing inspiration from the concept of technological revolutions, the paper exa...
Linkages between Technological Capability and Export Competitiveness: Evidence from Technical Efficiency of Indian Manufacturing Firms
This study examines firm-level determinants of technological capability in India’s Textile & Clothing and Electronics & Hardware sectors. Using a stochastic frontier production function (SFPF) to estimate technic...
Continental shift: operations and supply chain management research from an African perspective
Purpose – Africa is attracting growing research interest in operations and supply chain management (OSCM). However, the implications of Africa’s contexts are understudied and need to be explored to refine and elaborate e...
From the old to the new generation of a product : unlearn, improve, and prosper
Purpose: Drawing on the theories of planned obsolescence and dynamic capabilities, this study jointly addresses marketing and organizational aspects of the transition from the existing to the new generation of a product ...
Dark personality traits in project management : A bibliometric analysis and agenda for future research
For the past thirty-five years, project management research has been largely dominated by studies emphasizing the prosocial, and therefore positive, traits of project managers and their influence on project outcomes. Alo...
Security- as- a- service: enhancing cloud security through managed security solutions
Cloud computing plays an important role in modern businesses by enabling flexible, efficient storage, analysis, and access to data and applications. However, this reliance also introduces new security challenges. Ensurin...
Efficient Threshold ML-DSA
International audience
Scambaiting as entrepreneurial digilantism - the evolution of scambaiting and its role in combating online fraud
This research explores the evolution of scambaiting as a form of digital vigilantism, arguing that its modern iteration on platforms like YouTube constitutes a form of "entrepreneurial digilantism." As internet technolog...
Generative machine learning in professional work and professional service firms : a research agenda
This paper addresses the need for an approach to theorizing professional work and professional service firms in the generative machine learning age. We develop an approach using insights from existing literature on digit...
Planificacion
RL for Dynamic Job Shop Scheduling
Revision de enfoques de reinforcement learning para scheduling dinamico con restricciones reales.
GNN-RL for JSSP
Propuesta reciente de combinacion GNN + RL para secuenciacion en problemas job shop complejos.
Implications of the climate transition on employment, skills, and training in Belgium
status: Published
Generative AI and the algorithmic workplace: a bibliometric and conceptual analysis of its impact on organisational decision-making and work design
This study investigates how generative artificial intelligence (GenAI) is transforming the architecture of the workplace and reconfiguring managerial agency in contemporary organisations. While prior research has explore...
Plant-wide master production scheduling in the automotive industry under component blockings: an MILP-approach and a simulation study
Abstract Supply chain disruptions in the automotive industry have been increasingly prevalent, especially in recent years due to various factors such as natural disasters, geopolitical tensions, and the global pandemic. ...
The impact of industry 4.0 technologies on global value chain geographical configuration, efficiency, and sustainability: a systematic literature review
Abstract The advent of Industry 4.0 (I4.0) has brought about a significant transformation in the manufacturing sector, leading to notable improvements in various aspects such as flexibility, mass customization, quality, ...
Optimization of precast Component Production Scheduling: A Comparative Study of Genetic Algorithm and Simulated Annealing
The production of precast components is a core link in the industrialization of construction, and the rationality of production scheduling directly determines project costs, construction progress, and resource utilizatio...
A Review of Intelligent Optimization Algorithms for Oilfield Development
To identify the most suitable oilfield development strategy for maximizing energy supply or economic returns, optimization of oilfield development remains one of the most critical challenges in closed-loop reservoir mana...
Remanufacturing workshop management in blockchain and digital twin-based cloud remanufacturing service platform
The cloud remanufacturing service platform is an online platform that provides various services and resources for the remanufacturing industry. It promotes the digital transformation of the industry, improves resource ut...
Optimization Algorithms: Comprehensive Classification, Principles, and Scientometric Trends
In recent years, optimization algorithms have emerged as powerful computational tools for addressing complex and dynamic challenges across diverse domains. These domains include engineering, technology, management, and d...
Doubly Robust Causal Learning-Driven Adaptive Evolutionary Constrained Optimization Algorithm
Constrained optimization problems are widely prevalent, with evolutionary algorithms serving as predominant solution approaches. However, these algorithms exhibit inadequate adaptability and lack causal interpretability ...
Proceso
Learning-Based Fusion for Robust Multi-Spectral Visual Servoing
International audience
Shared control for assistive and collaborative robotics
Estudio tecnico aplicado a entorno industrial y operaciones de planta.
The RepairBot Framework: Human-Touch-Aware Conversational Agent for Hands-on Clothes-Repair
Learning clothes repair is challenging for novices, who face interconnected procedural and embodied challenges, especially when learning alone. Existing tools fail to provide holistic support as interactive tutors and la...
Haptixel: Encoding Data through Cutaneous Force-based Encountered-Type Fingertip Haptics
International audience
Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection
The growing sophistication of cyber-attacks exposes the limitations of conventional deep neural networks, which often suffer from slow convergence and high computational costs. This paper introduces the Conformable Fract...
On the need to consider effective strain damage in durability prediction using wavelet-based vibration parameters through neuro-fuzzy modelling
Abstract This study presents a vibration data-driven machine learning approach for accurate fatigue life assessment of suspension coil springs considering the cycle sequences of random loading. This approach integrated w...
Chemometric Techniques for Enhancing UV-Vis Spectrophotometric Determination of Metal Ions: A Review
Background: Trace metal ions play vital roles in living organisms and, at higher concentrations, are important in industrial applications such as food supplement production and polymer manufacturing. Therefore, reliable ...
A Design-Oriented Sustainable Balanced Scorecard Framework for the Energy Sector
Large multinational energy companies face a strategic trilemma in balancing growth, strategy, and sustainability, which are often difficult to integrate and insufficiently supported by measurable performance indicators. ...
Robotic Suit for Paralyzed Person
Paralysis caused by spinal cord injuries, neurological disorders, or muscle degeneration significantly affects the mobility and independence of individuals. Assistive robotic technologies such as wearable exoskeletons pr...
A smart contract based on enhanced residual gated recurrent unit with the one-way compression function for attack detection in IoT
The rapid expansion of the Internet of Things (IoT) ecosystem has increased vulnerability to distributed attacks and data manipulation threats, necessitating robust and efficient attack detection mechanisms. Therefore, t...
Seguridad
Real-time Safety Gear Detection
Arquitectura robusta para deteccion de EPI con escenas complejas y oclusiones.
Aplicación de inteligencia artificial para verificar el uso de equipos de protección personal en una planta de cemento, Ecuador
La industria cementera se desarrolla en entornos laborales altamente exigentes, donde los trabajadores están expuestos de forma continua a diversos factores de riesgo, como la inhalación de polvo, niveles elevados de rui...
Study on Risk Analysis of a Rotary Kiln-Based Activated Carbon Manufacturing Process Using Fuzzy-FMEA
Rotary kiln-based activated carbon production combines high-temperature operation with flammable/reducing gases, carbonaceous dust, and downstream off-gas treatment and acid/base washing, creating complex escalation path...
Generative AI and LLMs in industry: a text-mining analysis and critical evaluation of guidelines and policy statements across 14 industrial sectors
The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and o...
Artificial intelligence and occupational health and safety: a systematic review
Abstract Objectives The objective of this study is to The present systematic review sought to evaluate the application of artificial intelligence (AI) in the domain of occupational health and safety (OHS), with a particu...
Life cycle assessment of nanomaterials and laboratory consumables: toward safer and sustainable nanotechnology
Abstract The increasing integration of nanoparticles into laboratory studies and consumables, such as filters, pipette tips, test kits, and coatings, has raised critical concerns about their environmental sustainability,...
A Vision System for Automated Personal Protective Equipment Identification using Deep Learning
In industrial settings, where the failure to wear Personal Protective Equipment (PPE) like helmets, safety vests, and gloves can result in serious injuries and accidents, workplace safety is a major concern. Manual super...
Natural Hydrophobic Deep Eutectic Solvent-Based Enhanced Extraction of Bioactive Compounds from Cannabis sativa L. Leaf for Pharmaceutical Applications
Cannabis sativa L. leaves (CSL) are a rich in bioactive compounds and known for their medicinal and recreational uses. In this study, a natural hydrophobic deep eutectic solvent (HDES) system composed of menthol and thym...
Vision artificial
Smart Manufacturing IIoT Anomaly Dataset (SMIAD25)
This dataset represents a large-scale Industrial IoT (IIoT) multivariate time-series collection obtained from smart manufacturing environments operating under Industry 4.0 principles. The data span a continuous period fr...
Automatic Physically-Based Sim2Real for Tactile Images through Differentiable Path-Tracing Rendering
International audience
Commanding corporate narratives : How military-experienced leaders shape corporate communication
This study explores the enduring influence of military imprints on corporate leaders and their implications for corporate narrative disclosures. Drawing upon insights from imprinting, upper echelons, and strategic leader...
Can We Infer Object Pose Changes from Hand Movements?
International audience
From Reclamation to Restoration: Remaking Nature on Portland’s Peninsula
This environmental history of the North Portland Peninsula is a critical case study of a landscape in transition, where new “natures†have been constructed through shifting projects of reclamation and restoration. The Po...
A Survey on Critical Success Factors Influencing Project Success Across Multiple Industries
Project practitioners may find "success" to be the most enjoyable phrase.When discussing projects, the two main success concepts are project management success and project success.There are differences and similarities b...
Experimental force monitoring and IIoT integration in the deep drawing process of gas cylinders
The deep drawing process is widely employed in the manufacturing of gas cylinders, where force monitoring plays a crucial role in ensuring process stability, product quality, and operational safety. However, the integrat...
Investigation on the Adoption of Autonomous Construction: A Case Study in Construction Companies
Purpose: The Malaysian construction industry is shifting towards Construction 4.0 with autonomous construction to improve productivity and support national sustainability goals. This research examines the benefits and cr...
Decolonization, national consciousness, and nation-building in Africa since World War II
Abstract The impact of World War II on Africa remains significant to this day. Africa was drawn into the war through three main avenues. The injustice of colonial rule was laid bare during the war, accelerating the proce...
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Cuentanos tu caso
Convertimos retos operativos complejos en planes de IA ejecutables, con integracion real en planta y resultados trazables desde el primer sprint.
Explicanos tu escenario actual y te devolvemos una propuesta tecnica viable con alcance, datos criticos, arquitectura de despliegue y hoja de ruta de impacto.
- Diagnostico inicial del caso de uso
- Revision de datos e integracion OT/IT
- Estimacion de impacto y roadmap de implantacion