Phase diagram map of ferroelectric properties unlocked with AI in seconds

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
IEEE

Decentralized Federated Graph Learning With Lightweight Zero Trust Architecture for Next-Generation Networking Security

Abstract: The rapid development and usage of digital technologies in modern intelligent systems and applications bring critical challenges on data security and privacy. It is essential to allow ...
IEEE

Malware Traffic Classification via Expandable Class Incremental Learning With Architecture Search

Abstract: Malware traffic classification (MTC) is a crucial step in network intrusion detection, which is significant for network security and management. With the continuous evolution of malware ...
C&EN

TCNeKP: A Novel Deep Learning Architecture for Enzyme Catalytic Activity Prediction

Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing 400044, China College of Bioengineering, Chongqing ...
C&EN

Bridging Deep Learning and In Situ Spectroelectrochemistry: A Hybrid Framework for Uncovering Fundamental Insights of Multi-Electron Processes

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Machine learning (ML) has rapidly become a transformative tool ...
Frontiers

Pipeline monitoring data recovery using novel deep learning models: an engineering case study

Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...