Tag: deep learning

Researchers developed CA-YOLO-IRT, a lightweight attention-based detector that automates the identification of hidden concrete defects in infrared thermographic images.

Survey maps how machine learning exploits privileged information

A new survey reviews 107 papers on Learning Under Privileged Information and proposes a unified taxonomy of models and integration ...

New AI detector spots small rogue drones in cluttered low-altitude skies

Researchers report a lightweight detection model that improves small-drone recognition in complex backgrounds while sustaining real-time speeds on edge hardware.

AI health prediction tools lag in low-income countries, review finds

A systematic review of 64 studies finds that only about one in five AI prediction models built on electronic health ...

Research report: Vision-based rice panicle phenotyping from oblique UAV imagery

by Alan Morgan

A hybrid classical-quantum computer vision pipeline measures rice panicle density, size, and curvature from slanted drone images, outperforming standard segmentation ...

Deep learning hits 97% accuracy on satellite benchmarks, review finds

A systematic review finds deep learning exceeds 97 percent accuracy on remote sensing benchmarks but struggles with generalization, spectral exploitation ...

Radial Basis Function Network Outperforms Deep Learning Rivals in Predicting CO2 Emissions Across RCEP Economies

A Radial Basis Function network achieved the strongest performance among fifteen AI models used to predict CO2 emissions across 15 ...

Deep learning review maps how AI forecasts renewable energy

A systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...

Deep neural network maps minerals in petrographic thin sections with high accuracy