AI Flags Cold Chain Temperature Breaks Before They Strike Apples
Researchers in South Africa combined deep learning, causal discovery and explainability to predict temperature breaks in apple cold rooms before ...
Researchers in South Africa combined deep learning, causal discovery and explainability to predict temperature breaks in apple cold rooms before ...
A deep learning model analyzing eye positioning and video-based attention achieved over 97% accuracy in distinguishing autistic from non-autistic children ...
A new end-to-end neural network called SPDNet combines infrared and visible-light imagery to detect small space debris under challenging illumination, ...
A unified deep learning framework called MyoSpectrumNet combines pathologic myopia screening, maculopathy grading, refraction estimation and lesion segmentation from heterogeneous ...
A customised convolutional neural network detected mitotic figures in breast cancer histopathology images with a reported accuracy of 96.6 percent, ...
A new MLP-based segmentation method combining mixer layers with channel attention achieved a Dice coefficient of 81.45 percent on the ...
A lightweight YOLOv8-based detection model with three-branch attention and enhanced multi-scale fusion achieved 99.2 percent average precision on insulator defects ...
A new YOLOv8-based algorithm called DARF improves visible-infrared object detection by enhancing shallow features and adaptively routing cross-modal information, achieving ...
A new study maps major sign languages across five continents and proposes a hierarchical transformer architecture that reaches 91 percent ...
Researchers report a test-time fine-tuning approach that adapts large-scale vision foundation models to segment electronic waste, cutting end-to-end processing time ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine