Intelligent Computing and Networking -

Intelligent Computing and Networking

Proceedings of IC-ICN 2023
Buch | Softcover
562 Seiten
2023 | 1st ed. 2023
Springer Verlag, Singapore
978-981-99-3176-7 (ISBN)
213,99 inkl. MwSt
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2023), organized by the Computer Engineering Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 24–25, 2023. 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.

Valentina E. Balas is currently a full professor at “Aurel Vlaicu” University of Arad, Romania. She is an author of more than 300 research papers. Her research interests are in intelligent systems, fuzzy control and soft computing. She is the editor-in-chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is a member of EUSFLAT, ACM and a SM IEEE, member in TC-EC and TC-FS (IEEE CIS), TC-SC (IEEE SMCS) and a joint secretary FIM. Vijay Bhaskar Semwal is 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 2 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 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 Government of India. Dr. Anand Khandare is the Associate Professor & Deputy Head of the Department of Computer Engineering, Thakur College of Engineering and Technology, Mumbai, with 17 years of teaching experience. He completed Ph.D. in Computer Science and Engineering in the domain 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 1 copyright and 2 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 2020,2021,2022. He is also a reviewer in various journals and conferences.

Analysis of Healthcare System using Classification Algorithms.- Dollar Price Prediction using ARIMA.- An Exploratory Study On The Impact Of Digital Marketing And Innovations On E-Commerce Mechanism.- Apple Stock Price Prediction Using Regression Techniques.- Water Quality Assessment Through Predictive Machine Learning.- Comprehensive Review of Lie Detection in Subject based Deceit Identification.- Medical Image Processing and Machine Learning: A Study.- Security and privacy policy of mobile device application management system.- IoT based smart medical data security system.- Investigating the Impact of Distance on the Reception in Molecular Communication.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Networks and Systems
Zusatzinfo 190 Illustrations, color; 40 Illustrations, black and white; XIX, 562 p. 230 illus., 190 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Big Data • Cognitive • Computing, Networking • Data Science • IC-ICN 2023 Proceedings • Intelligent system • mobile network
ISBN-10 981-99-3176-2 / 9819931762
ISBN-13 978-981-99-3176-7 / 9789819931767
Zustand Neuware
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