This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.
Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively.
Edited by:
Radek Silhavy, Petr Silhavy Imprint: Springer International Publishing AG Country of Publication: Switzerland Volume: 1490 Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031967580 ISBN 10: 3031967585 Series:Lecture Notes in Networks and Systems Pages: 593 Publication Date:29 August 2025 Audience:
Professional and scholarly
,
College/higher education
,
Undergraduate
,
Further / Higher Education
Format:Paperback Publisher's Status: Active
