Combining AI with optical coherence tomography shows potential for detecting lipid-rich plaques in coronary arteries

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...
Frontiers

Graph Learning and Deep Unfolding for Electromagnetic Field Modelling and Antenna Systems

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Software tool can detect hidden errors in complex tissue analyses

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...
IEEE

ISFL-AE: Insider-Specific Feature Learning Autoencoder for Lightweight Insider Threat Detection

Abstract: Malicious insiders who possess system access and security expertise are notoriously difficult to detect and can inflict severe financial damage. While recent advances in deep learning have ...
IEEE

Structured Sparse Deep Reinforcement Learning for Accelerating Traffic Signal Decision-Making Under Limited Computational Resources

Abstract: Current deep reinforcement learning (DRL) -based adaptive traffic signal control (ATSC) methods generally face the challenge of excessive demands for storage and computational resources, ...
Scientific Research Publishing

A Hybrid CNN-LSTM Variational Autoencoder for Treatment Response Prediction in Synthetic Psychiatric Data ()

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
Scientific Research Publishing

Song, H., Gao, Y., Chen, W., Xue, Y., Zhang, H. and Zhang, X. (2020) Seismic Random Noise Suppression Using Deep Convolutional Autoencoder Neural Network. Journal of Applied ...

ABSTRACT: With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial ...