IEEE

DDConv: Disentangled Dual Branch Convolutional Network for Anomaly Detection in Server Machines

Abstract: Detecting anomalies in server machines is critical for providing reliable Web services. Usually, working status of server machines are characterized by multivariate time series (MTS).

Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
IEEE

An Overview of Adaptive Network Control in the Internet of Things: Machine Learning Methods for Optimizing Traffic and Dynamic Resource Management

Abstract: The Internet of Things (IoT) ecosystem has witnessed exponential growth, making network settings complex and dynamic. These challenges in energy efficiency, traffic, and resource allocation ...