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商品詳細
Advancement of Science and Technology: AI, Machine Learning, Electrical Engineering and Computing Technologies.
・ISBN 978-3-032-17204-4 hard EUR 249.99
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| 著者・編者 | Abebe Ashetehe, Ahunium / Bitew, Girmaw Teshager / Senshaw, Debas / Agegnehu Bitew, Mekuanint / Shewarega, Fekadu (eds.), |
|---|---|
| シリーズ | (EAI/Springer Innovations in Communication and Computing) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 710 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-23239> |
解説
This book presents cutting-edge developments, innovations, and sustainable technologies across a broad range of fields, including artificial intelligence (AI), wireless and mobile communication networks, space and satellite communication, computer and data networks, network and information security, the Internet of Things (IoT) and smart cities, robotics, industrial automation and control systems, microgrid and smart grid technologies, power electronics and HVDC, as well as electrical machines and power systems. It covers contemporary research methodologies, tools, and languages-particularly in AI-while also exploring the theoretical, experimental, and philosophical dimensions of modern science and engineering.
Bringing together pioneering studies from electrical, electronic, computer, and AI-driven technologies, the book demonstrates how these innovations are transforming key sectors such as healthcare, agriculture, culture, energy, and security. Highlights include medical applications like epileptic seizure detection, anemia severity prediction, and ICU readmission risk modeling; agricultural innovations; and culturally significant work in language processing, source coding, cuisine classification, and the digital preservation of traditional embroidery designs. In electrical and power engineering, readers will find intelligent solutions for converter optimization, voltage restoration, wind farm site selection, and power loss reduction. Security-focused contributions address IoT threat detection, mitigation of AI hallucinations, and conflict-aware scheduling in industrial IoT systems.
Integrating technical rigor with real-world relevance, this comprehensive volume serves as an essential resource for researchers, practitioners, and policymakers committed to advancing science and technology for meaningful societal impact.