Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2023 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, S. Vimal, Danilo Pelusi

• Autore: Das Asit Kumar
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (748 pages)
• Disciplina: 006.4
• Soggetto topico: Computational intelligence; Image processing - Digital techniques; Computer vision; Artificial intelligence; Computer networks - Security measures; Computational Intelligence; Computer Imaging, Vision, Pattern Recognition and Graphics; Artificial Intelligence; Mobile and Network Security
• Altri autori: NayakJanmenjoy NaikBighnaraj VimalS PelusiDanilo
• Nota di contenuto: A New Technique of Cipher Type Identification using Convolutional Neural Networks -- Monthly Rainfall forecasting Using Sequential Models -- Detection and Classification of Dental Caries Using Deep and Transfer Learning -- Method Level Code Smells Detection Using Machine Learning Models -- Performance Investıgatıon of Svm and Modıfıed Svm Algorıthms for Acute Health Dıagnosıs -- An Efficient Multifactor Authentication System -- A CNN based approach for Face Recognition under dif-ferent orientations -- A Deep Learning Approach for Detection of Disease in Plant Leaves -- Label Consistency based Modified Sequential Dictionary Learning based Approach for PIR Sensor based Detection of Human Movement Direction -- Machine Learning Based Phishing Detection in Heterogeneous Information Network.
• Sommario/riassunto: This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
• Titolo autorizzato: Computational Intelligence in Pattern Recognition
• ISBN: 981-9937-34-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910742496203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 725