This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, navigation ...

🔥 Applying Large language models (LLMs) for diverse optimization tasks (Opt) is an emerging research area. This is a collection of references and papers of LLM4Opt. The Papers are sorted by time ...

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers ...

About The AzureML Inference Server is a python package that allows user to easily expose machine learning models as HTTP Endpoints. The server is included by default in AzureML's pre-built docker ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

An extensive survey of around 30,000 developers has revealed Python is still a preferred language for many programmers, with ...

A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring Abstract: Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring ...