Researchers introduced Machinometrics, a framework integrating deep learning activation heatmaps with physical density and distance attributes to improve artificial intelligence ...
A focused review of 27 studies highlights the shift from traditional image processing to deep learning architectures for automated concrete ...
A hybrid AI framework combining LeViT and ResNet architectures outperformed existing models in staging liver fibrosis from ultrasound images.
A dual-branch neural network combining residual and multi-scale feature extraction with gradient-based visual explanations achieves over 99 percent accuracy in ...
A retrospective study in Frontiers in Systems Biology found that ResNet-based AI models achieved high accuracy in classifying breast cancer ...
A deep learning model called DeepScope classifies microscopic images of unincubated water samples in seconds, with an estimated per-test cost ...
A dual-channel AI framework that fuses raw byte textures with statistical flow features achieved 98.74 percent accuracy on real urban ...
A thin monolithic CsI(Tl) crystal read out by an 8 by 8 silicon photomultiplier array resolves 59.5 keV gamma-ray positions ...
A diffusion-based text-to-speech model trained on eight dysarthric TORGO speakers generated 6,120 synthetic UA-Speech utterances that improved speaker-independent intelligibility classification ...
A stacking ensemble combining EfficientNet, ResNet and MobileNet classified healthy and diseased olive leaf images with 97.21% accuracy on a ...
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