In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Figuring out the ages of stars is fundamental to understanding many areas of astronomy—yet, it remains a challenge since ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

“It’s my prime career goal to be a well-known professional in forest ecology at the national and international level, which has enhanced after getting the certification as Ecologist from [ESA]. The ...

Time series clustering plays a vital role in various fields, including power grids and finance. In recent years, contrastive learning has been widely adopted to improve the performance of clustering ...

This letter addresses the challenge of allocating heterogeneous resources among multiple agents in a decentralized manner. Our proposed method, Liquid-Graph-Time Clustering-IPPO, builds upon ...

Idris Elba Reveals Why He Refuses to Watch The Wire: 'There Was a Part of Me That Died With That Character' ...