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Metasurface spectral AI chip diagnoses dry eye–related gland disorder with 96% accuracy-Ultrafast “in-sensor computing” captures molecular fingerprints of meibo…

A metasurface-based spectral convolutional neural network chip enables real-time, high-precision pathological diagnosis of ...
IEEE

Analysis of MLP, CNN, and GNN Architectures for MNIST Digit Classification: Accuracy, Inference Time, and Memory Trade-Offs

Image classification constitutes a fundamental problem in computer vision, with applications in healthcare, security, autonomous systems, and industrial automation. While modern deep learning models ...
IEEE

Physics-Informed Neural Network-Based Open Set Classification of Neighboring Vehicle Motion for Decision-Making in Autonomous Driving

Abstract: In this paper, a method for inferring the motion intentions of a neighboring vehicle ahead of an ego vehicle using a physics-informed deep neural network-based open-set classification ...
Frontiers

Interpretable vision mamba for SAR images classification

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...