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Intelligent data engineering and analytics = proceedings of the 12th International Conference on Frontiers in Intelligent Computing : Theory and Applications (FICTA 2024) /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent data engineering and analytics/ edited by Vikrant Bhateja, Preeti Patel, Milan Simic.
Reminder of title:	proceedings of the 12th International Conference on Frontiers in Intelligent Computing : Theory and Applications (FICTA 2024) /
remainder title:	FICTA 2024
other author:	Bhateja, Vikrant.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xx, 619 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence -
Online resource:	https://doi.org/10.1007/978-981-96-0139-4
ISBN:	9789819601394

Intelligent data engineering and analytics = proceedings of the 12th International Conference on Frontiers in Intelligent Computing : Theory and Applications (FICTA 2024) /
Intelligent data engineering and analyticsproceedings of the 12th International Conference on Frontiers in Intelligent Computing : Theory and Applications (FICTA 2024) /[electronic resource] :FICTA 2024edited by Vikrant Bhateja, Preeti Patel, Milan Simic. - Singapore :Springer Nature Singapore :2025. - xx, 619 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v. 4202190-3026 ;. - Smart innovation, systems and technologies ;16..

Chapter 1: Benchmarking One Class Classification in Banking, Insurance, and Cyber Security -- Chapter 2: Image Texture Data Blocks Produced With 2D-Cellular Automata Linear Rules -- Chapter 3: Optimizing Classification Performance in Imbalanced Datasets -- Chapter 4: Benefits and Limitations of using Data-Driven Approach to Develop Inclusivity Networks for Young Disabled People: A case study of Assemble by the National Youth Theatre -- Chapter 5: On Classification, Evaluation and Utilization of MCDM Based Feature Selection Techniques -- Chapter 6: Investigating Fine-tuning of Large Language Models for Text Summarisation -- Chapter 7: Forecasting Urban Growth: Applying Prophet Model to Landsat NDBI Data for Sustainable City Development -- Chapter 8: Prediction of Health Hazards caused due to Excess Use of steroids Consumption on Liver, Heart and Lung of Hu- man Body" -- Chapter 9: Integrating an Information System Successful with Task Technology Fit: SME's AIS Implementation -- Chapter 10: Tracking Hospital-Acquired Infections (HAIs). etc.

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.

ISBN: 9789819601394

Standard No.: 10.1007/978-981-96-0139-4doiSubjects--Topical Terms:

671585
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Intelligent data engineering and analytics = proceedings of the 12th International Conference on Frontiers in Intelligent Computing : Theory and Applications (FICTA 2024) /
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520 $a 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.
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