UID:
almahu_9949986197202882
Format:
XX, 619 p. 183 illus., 130 illus. in color.
,
online resource.
Edition:
1st ed. 2025.
ISBN:
9789819601479
Series Statement:
Smart Innovation, Systems and Technologies, 422
Content:
The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6-7, 2024. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
Note:
Chapter 1: Policy Based Verification and Enforcement for Generation of SSL/TLS CertificACates -- Chapter 2: The Revolutionary Potential of Technology for Empowering Individuals with Autism -- Chapter 3: Nepali Word Spelling Correction Using Ensemble Learning Technique -- Chapter 4: The impact of information security policies and innovations in digital technology on the transformation of healthcare in developing nations: A literature review -- Chapter 5: Integrating Multi-Omics & Clinical Narratives for Predictive Modeling: Genomics, Transcriptomics, Proteomics, and Medical Texts in Disease Analysis -- Chapter 6: A Comprehensive Survey of Fake Review Detection Technology -- Chapter 7: A Hybrid Intelligent Decision Support System for Automating Financial Credit Evaluation -- Chapter 8: Advancing Taxation in the New Era: Enhancing Tax Ratios with the Core Tax Administration System (CTAS) -- Chapter 9: Enabling Grid Stability: Harnessing μPMU Data for Data-Driven Analysis of Grid Frequency Events -- Chapter 10: Machine learning techniques to detect fake news on social media: A systematic review. etc.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819601462
Additional Edition:
Printed edition: ISBN 9789819601486
Additional Edition:
Printed edition: ISBN 9789819601493
Language:
English
DOI:
10.1007/978-981-96-0147-9
URL:
https://doi.org/10.1007/978-981-96-0147-9
URL:
Volltext
(URL des Erstveröffentlichers)
