Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...

Adaptive method helps light-based quantum processors act more like neural networks

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

New X-ray method captures 3 image-contrast types in a single shot

University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, ...

Deep learning model has identified imaging biomarker for chronic stress

A deep learning model has identified an imaging biomarker of chronic stress, according to a study to be presented at the annual meeting of the Radiological Society of North America, being held from ...
Scientific Research Publishing

Advantages of Hyperspectral Remote Sensing for Harmful Algal Bloom Detection ()

Kapoor, J. (2025) Advantages of Hyperspectral Remote Sensing for Harmful Algal Bloom Detection. Journal of Geoscience and ...