AI Turns Ordinary Photos Into Spectral Scans to Grade Cassava Starch Quality
Researchers have built an AI framework that grades cassava roots by amylose content using hyperspectral imaging and reconstructs the crucial ...
Researchers have built an AI framework that grades cassava roots by amylose content using hyperspectral imaging and reconstructs the crucial ...
A large-scale study argues that machine learning performance should be reported as distributions with confidence intervals on quantiles rather than ...
A deep learning analysis of Planet satellite imagery has classified the surface type and width of 9.2 million kilometers of ...
Researchers at Guangdong University of Technology have developed DP-MVAD, a dual-path multi-view framework that disentangles trends from perturbations and fuses ...
A new benchmark study shows that data augmentation lifts pre-trained deep learning models to up to 98.06% accuracy in classifying ...
Researchers have developed a hyperspectral deep learning framework, STAMPformer, that non-destructively predicts continuous frost damage severity in field-grown tea plants ...
Researchers have combined conditional diffusion models with graph neural networks to generate coordinated energy schedules for building clusters, achieving a ...
Researchers in India report that a hybrid ADAMW plus SGD optimizer with embedded feature selection boosts deep learning accuracy for ...
Chinese researchers have developed LMMR-YOLO, a lightweight deep learning model that automatically detects macular holes in OCT scans and measures ...
A new computational framework called DeCTCF uses AI-predicted epigenomic features to sort more than 236,000 CTCF binding sites into 20 ...
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© 2025 Scienmag - Science Magazine