Evolutionary AI Model Tames Power Plant Sensor Data With Fewer Errors
A newly published study in Discover Artificial Intelligence proposes a machine learning framework designed specifically for this problem, combining a ...
A newly published study in Discover Artificial Intelligence proposes a machine learning framework designed specifically for this problem, combining a ...
A review of three decades of artificial intelligence in prostate cancer demonstrates that while technical performance has advanced significantly, definitive ...
A structured narrative review finds that explainable AI techniques may improve transparency in diagnosing skin-manifesting neglected tropical diseases, while deep ...
A new Journal of Micropalaeontology special issue editorial chronicles the life, landmark books and enduring influence of foraminiferal ecologist John ...
Researchers developed CA-YOLO-IRT, a lightweight attention-based detector that automates the identification of hidden concrete defects in infrared thermographic images.
A new survey reviews 107 papers on Learning Under Privileged Information and proposes a unified taxonomy of models and integration ...
Researchers report a lightweight detection model that improves small-drone recognition in complex backgrounds while sustaining real-time speeds on edge hardware.
A systematic review of 64 studies finds that only about one in five AI prediction models built on electronic health ...
A hybrid classical-quantum computer vision pipeline measures rice panicle density, size, and curvature from slanted drone images, outperforming standard segmentation ...
A systematic review finds deep learning exceeds 97 percent accuracy on remote sensing benchmarks but struggles with generalization, spectral exploitation ...
A systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...
A ResNeXt101-UNet deep learning model segments ten mineral phases in petrographic thin sections, reaching a weighted F1-score of 0.863 over ...
A systematic review finds that deep learning on liver MRI reaches pooled sensitivity of 0.862 and specificity of 0.916 for ...
A hybrid deep learning framework that combines ant colony optimization with a spatio-temporal variational autoencoder recognized nine opera teaching postures ...
A controlled study of 3,600 runs finds normalization schemes help mainly at shallow depths while graph homophily predicts how accuracy ...
Deep learning models trained on pre-procedural ultrasound videos predicted the success of transcatheter mitral valve edge-to-edge repair with an AUC ...
A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...
A physics-aware, uncertainty-guided deep learning surrogate has been shown to replace expensive circuit simulations when optimizing ultra-low-power amplifiers for biosignal ...
A new review maps how artificial intelligence is transforming epilepsy diagnosis, seizure prediction, personalized treatment and long-term management, while warning ...
A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ablation study ...
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