Data Engineering and Intelligent Computing : Proceedings of 5th ICICC 2021, Volume 1 / / edited by Vikrant Bhateja, Lai Khin Wee, Jerry Chun-Wei Lin, Suresh Chandra Satapathy, T. M. Rajesh

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (505 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Engineering - Data processing; Artificial intelligence; Computational Intelligence; Data Engineering; Artificial Intelligence
• Persona (resp. second.): BhatejaVikrant
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Enhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm -- Derivation of DUS-Defined Physiological and Color Features of Okra Fruit Using Machine Vision Technology -- Application-Oriented Content Quality Analysis of Data Using Python -- An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems -- Detection and Classification of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network -- Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations.
• Sommario/riassunto: This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 26–27 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
• Titolo autorizzato: Data Engineering and Intelligent Computing
• ISBN: 981-19-1559-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910583507103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 446