CORTE-X Lab Laboratory for Machine Vision and Artificial Intelligence in Technological Systems

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August 12, 2026

OPTIFARM: Benchmarking YOLO Architectures for Location-Robust Potato Quality Detection

A benchmark of affordable RGB-based optical inspection and deep learning for robust potato quality detection across locations….

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March 20, 2026

Temporal and statistical insights into multivariate time series forecasting of corn outlet moisture in industrial continuous-flow drying systems

Statistical analysis and deep learning for outlet moisture prediction in industrial continuous-flow drying systems….

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Using a Region-Based Convolutional Neural Network (R-CNN) for Potato Segmentation in a Sorting Process

Machine-vision segmentation for a potato-sorting system designed to process more products simultaneously….

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Advancing Intelligent Toolpath Generation: A Systematic Review of CAD–CAM Integration in Industry 4.0 and 5.0

A systematic review of AI-enabled CAD–CAM integration and intelligent toolpath generation across Industry 4.0 and 5.0….

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Predicting Corn Moisture Content in Continuous Drying Systems Using LSTM Neural Networks

Machine learning and LSTM models for moisture prediction and process optimization in corn drying….

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Hardened workpiece shape prediction using acoustic responses and deep neural network

Predicting hardened workpiece shape from acoustic responses with deep neural networks for automated straightening….

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