Arai / Lorenz | Intelligent Computing | Buch | 978-3-032-31754-4 | www.sack.de

Buch, Englisch, 624 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

Arai / Lorenz

Intelligent Computing

Proceedings of the 2026 Computing Conference, Volume 4
Erscheinungsjahr 2026
ISBN: 978-3-032-31754-4
Verlag: Springer

Proceedings of the 2026 Computing Conference, Volume 4

Buch, Englisch, 624 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

ISBN: 978-3-032-31754-4
Verlag: Springer


This book of the Proceedings of the 2026 Computing Conference presents a selected collection of high-quality papers presented at Computing Conference 2026, held in London, UK, on 9–10 July 2026. The conference witnessed submissions from researchers, academicians, and industry practitioners from worldwide. To ensure the high standards of originality, technical quality, and relevance to the conference themes, all the papers were passed through a double-blind peer-review process.
A wide range of core computer science tracks, including AI & Machine Learning, Data Science, Computing for Society, Cybersecurity, Privacy & Trust, Computer Vision, Technology-enhanced Education, Future Computing Architectures, and Intelligent Systems, encompass the current research and emerging trends. Together, these works highlight innovative methodologies, theoretical advancements, and practical applications that advance the state-of-the-art in computing and digital technologies.
We trust that this book of the proceedings serve as a valuable reference for researchers and practitioners and contribute to continued exploration, collaboration, and innovation in the rapidly evolving field of computing.

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Weitere Infos & Material


Artificial Intelligence and Communication: A Bibliometric Analysis.- A Data-Driven Business Intelligence Portal for Enhancing Scholarship Management and Strategic Decision-Making in Higher Education.- The Impact of Brexit and COVID-19 on the Credit Risk of EU and UK Companies.- Seasonal and Quantum-Inspired Models for Neutron-Monitor Time-Series Forecasting.- Inferring Online Retailing Product Seasonality via LLMs for Cold-Start Cases.- Designing a Generative AI Video Engine for Scalable E-Learning Content Production.- Libraries of the Future: Library Intelligence.- Experimental Evaluation of Dickson Polynomials as an S-Box for Algebraic Hash Functions.- A Security Analysis of Telegram Using Forensic Methodology.- Harnessing Blockchain Technology for Realizing Decentralized Open Science.



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