Advancement of Science and Technology

AI, Machine Learning, Electrical Engineering and Computing Technologies
Erscheinungsjahr 2026
ISBN: 978-3-032-17204-4
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 756 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: EAI/Springer Innovations in Communication and Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Abebe Ashetehe, Ahunium

Bitew, Girmaw Teshager

Senshaw, Debas

Agegnehu Bitew, Mekuanint

Shewarega, Fekadu

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction.- Artificial intelligence.- Wireless Networks.-Mobile Computing and Communication.-Space and satellite communication.- Computer networks and data communication.- Network and data security.- the internet of things and smart cities.- Microgrid and smart grid technologies.- Robotics, industrial automation and control systems.- Power electronics and HVDC.-Electrical machine and power systems.- . Big data and computing.-Human computer interaction.- Internet of Things (IoT).- Ambient Intelligence.- E-services.- Security and Privacy.- Information systems and services.- Conclusion.

Über Autor(innen)

Girmaw Teshager Bitew, PhD, is an Assistant Professor at Bahir Dar University, Faculty of Electrical and Computer Engineering. He holds a PhD in Power System and Automation Engineering from North China Electric Power University (2019), an MSc in Electrical Power Systems from Addis Ababa University (2011), and a BSc in Electrical Engineering from Arba Minch University (2006). He has over fourteen years of academic experience and four years industrial experience as a Senior Electrical Engineer at Goldwind, China, contributing to microgrid systems and IEC standard development. Dr. Bitew has supervised PhD and MSc students, published over 30 papers, earned a patent, and co-authored books and chapters. He reviews for leading publishers including IEEE, Springer, IET, Elsevier, and AIP. He also serves on the Editorial Board of the ICAST book series and has been a keynote speaker, technical committee member, session chair, and judge at international conferences.

Ahunim Abebe Ashetehe, PhD, is an Assistant Professor and Publication & Grant Research Management Coordinator at the Bahir Dar Institute of Technology, Bahir Dar University. He earned his BSc (2005) and MSc (2009) degrees in Electrical Power System Engineering from Adama Science and Technology University and completed his PhD in Electrical Power Engineering at Bahir Dar University in 2024. He began his academic career at Debre Berhan University, serving in teaching, community service, and administrative roles for six years. Since 2012, he has been a faculty member at Bahir Dar Institute of Technology. Dr. Ahunim has contributed to several conferences as Technical Publishing Chair and session chair. He is the editor of the Springer book Advancement of Science and Technology: AI, Machine Learning, Electrical Engineering, and Computing Technologies (2025). His research interests include renewable energy, rural electrification, microgrids, smart grids, optimization, and energy management.

Debas Senshaw, PhD, BSc (Computer Science), MSc (Computer Science), PhD in Computer Science. He is assistant professor in the School of Computing at Bahir Dar University, Ethiopia. His primary research interests focus on Digital Government, Digital Innovation, Digital Transformation and ICT for development.

Mekuanint Agegnehu Bitew, PhD, received the bachelor’s degree from Mekelle University, Mekelle, Ethiopia, in 2005, the master’s degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2007, and the Ph.D. degree from the College of Electrical and Computer Science, National Taipei University of Technology, Taipei, Taiwan, in 2016. He has been a Postdoctoral Researcher for two years with the National Taipei University of Technology. Since 2022, he has been an Associate Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia. His research interests include WSNs, ad-hoc networks, wireless communication, optical networks, and AI.

Fekadu Shewarega, Dr.-Ing. (Member, IEEE) received the Dipl.-Ing. degree in electrical engineering and the Ph.D. degree in power engineering from the Technical University of Dresden, Dresden, Germany, in 1985 and 1988, respectively. After graduation, he joined the Addis Ababa University, Ethiopia as an Associate Professor, where he served in various teaching and administrative capacities. Currently, he is a member of the research staff at the University Duisburg-Essen, Duisburg, Germany. His research interests are focused on power system analysis and renewable energy technologies