Buch, Englisch, Format (B × H): 155 mm x 235 mm
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-3-032-45531-4
Verlag: Springer
This new anthology comprises 40 scientific contributions and was created in close cooperation with numerous outstanding scientists from multiple countries: Germany, Ukraine, the UK, Czechia, Slovakia, Poland, Italy, Portugal, France, Latvia, Georgia, Israel, China, and Chad, who have sent us their valuable contributions
This anthology examines current developments regarding the use of artificial intelligence methods in critical infrastructures and sustainable digital systems. The following themes are examined: applications of machine learning (ML), neural networks (NN), deep learning (DL), AI agenting and AI copilots, and large language models (LLMs) in network technology, social pedagogy, business, education, software engineering, and cybersecurity to foster sustainability and ensure the resilience of critical infrastructures and their services.
Furthermore, the following subjects are discussed:
• Data science and the "Artificial Intelligence of Everything" (AIoE)
• AI-supported navigation systems for precision farming
• Quantitative AI approaches in medicine
• Communication accessibility in AIoE-based critical infrastructures
• Financial stability, risk management, and regulatory issues
• Swarm-intelligent nano-systems and other innovative AI applications.
The target audience of the book is as follows. This anthology is primarily aimed at students, professors and university teachers, as well as professionals, including specialists and executives, working in the fields of network technology, artificial intelligence, data science, IT security, and sustainable digitalization.
Furthermore, the work appeals to a much broader readership. Thanks to its interdisciplinary nature, it offers valuable insights for experts in business and social sciences, engineering, agricultural sciences, and numerous other academic and industrial fields.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Artificial Intelligence for Resilient Critical Infrastructure.- Multi-Objective Genetic Algorithm-Based Routing in Heterogeneous Wireless Sensor Networks.- Artificial Intelligence of Everything and Data Science.- Artificial Intelligence Techniques for DDoS Detection and Cyber Resilience.- Cyber-Resilience of a Critical Infrastructure.- Comparative Regulatory Landscape of Human and Bovine Milk miRNAs: A Quantitative Global Score Approach.- Resilient Architecture of an LLM-Driven Multi-Agent Decision Support System in a Multi-Cloud Environment.
