Here, we propose a novel multivariate time series clustering method using multi-nonnegative matrix factorization (MNMF) in multi-relational networks. Specifically, a set of multivariate time series is ...

This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine ...

Abstract: Covariance matrix estimation is ... of the covariance given the class, is basically a mixture of inverse Wishart, while the class posterior distribution evolves according to a Markov chain.

The framework combines three innovations: (1) a CBAM attention mechanism to amplify pest features while suppressing background noise; (2) a feature-enhanced pyramid network (FPN) for multi-scale ...

SAN JOSE, Calif., May 13, 2025 /PRNewswire/ --Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, is announcing that a number of Supermicro servers ...