This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2024), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 23-24, 2024. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer Verlag, Singapore
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Illustrationen
87
38 s/w Abbildungen, 87 farbige Abbildungen
XIII, 290 p. 125 illus., 87 illus. in color.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-981-97-8630-5 (9789819786305)
DOI
10.1007/978-981-97-8631-2
Schweitzer Klassifikation
Dr. Gheorghita (George) Ghinea is a professor in Mulsemedia Computing in the Department of Computer Science, at Brunel University. Dr. Ghinea's research activities lie at the confluence of computer science, media, and psychology. In particular, his work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. Dr. Ghinea has applied his expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. He has over 350 publications in his research field and is situated in the Top 2% Cited Scientists in the World, according to the prestigious Stanford Ranking (2020).
Vijay Bhaskar Semwal has been working as an assistant professor (CSE) at NIT Bhopal since February 5, 2019. Before joining NIT Bhopal, he was working at NIT Rourkela. He has also worked with IIIT Dharwad as an assistant professor(CSE) for two years (2016-2018) and he has also worked as an assistant professor (CSE) at NIT Jamshedpur. He has earned his doctorate degree in robotics from IIIT Allahabad (2017) , M.Tech. in Information Technology from IIIT Allahabad (2010), and B.Tech. (IT) from the College of Engineering Roorkee (2008). His areas of research are bipedal robotics, gait analysis and synthesis, artificial intelligence, machine learning, and theoretical computer science. He has published more than 15 SCI research papers. He has received early career research award by DST-SERB under the government of India.
Dr. Anand Khandare is the Professor and Associate Dean ( Planning & Operations-Digital Resources), Thakur College of Engineering and Technology, Mumbai, with 18 years of teaching experience. He completed Ph.D. in Computer Science and Engineering in the domain of data clustering in machine learning from Sant Gadge Baba Amravati University. He has a total of 60+ publications in national and international conferences and journals. He has one copyright and two patents. He guided various research and funded projects. He conducted corporate training on AIML and programming languages for the industries. He organized various conferences. He worked as a volume editor in Springer International Conference on Intelligent Computing and Networking for the Years 2020-24. He is also a reviewer in various journals and conferences.
