03078nam a22005535i 4500 978-981-99-7962-2 DE-He213 20251030110916.0 cr nn 008mamaa 240106s2024 si | s |||| 0|eng d 9789819979622 978-981-99-7962-2 10.1007/978-981-99-7962-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Data Intelligence and Cognitive Informatics [electronic resource] : Proceedings of ICDICI 2023 / edited by I. Jeena Jacob, Selwyn Piramuthu, Przemyslaw Falkowski-Gilski. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 586 p. 313 illus., 247 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Algorithms for Intelligent Systems, 2524-7573 The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems. Computational intelligence. 64052 Internet of things. 58845 Cooperating objects (Computer systems). 64303 Computational Intelligence. 64052 Internet of Things. 58845 Cyber-Physical Systems. 65638 Jacob, I. Jeena. editor. edt http://id.loc.gov/vocabulary/relators/edt 69318 Piramuthu, Selwyn. editor. edt http://id.loc.gov/vocabulary/relators/edt 69319 Falkowski-Gilski, Przemyslaw. editor. edt http://id.loc.gov/vocabulary/relators/edt 67624 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819979615 Printed edition: 9789819979639 Printed edition: 9789819979998 Algorithms for Intelligent Systems, 2524-7573 66647 https://doi.org/10.1007/978-981-99-7962-2 ZDB-2-INR ZDB-2-SXIT 57120 57120