Hybrid Intelligent Systems [[electronic resource] ] : 21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14–16, 2021 / / edited by Ajith Abraham, Patrick Siarry, Vincenzo Piuri, Niketa Gandhi, Gabriella Casalino, Oscar Castillo, Patrick Hung

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (683 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Computational Intelligence; Artificial Intelligence
• Persona (resp. second.): AbrahamAjith <1968->
• Note generali: Includes index.
• Nota di contenuto: YOLOv5 Based Deep Convolutional Neural Networks for Vehicle Recognition in Smart University Campus -- Analysis of Twitter User's Sentiment Against Covid-19 Vaccination Using the Lexicon Based Method -- Dual Connectivity Handoff Analysis for ENDC C/U-plane Split NSA NR5G Networks -- Blockchain Integrated Machine Learning For Training Autonomous Cars -- Privacy Preservation Technique based on Sensitivity Levels for Multiple Numerical Sensitive Overlapped Attributes -- Feature Ranking Based Carrot Disease Recognition Using MIFS Method -- Designing Knowledge-Based Systems for COVID-19 Diagnosis.
• Sommario/riassunto: This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 45 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021) and 16 papers from the 17th International Conference on Information Assurance and Security, which was held online, from December 14 to 16, 2021. A premier conference in the field of artificial intelligence and machine learning applications, HIS-IAS 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
• Titolo autorizzato: Hybrid Intelligent Systems
• ISBN: 3-030-96305-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910551836903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 420