Intelligent Computing and Networking
Proceedings of IC-ICN 2022
Published on 22. March 2023
Book
Paperback/Softback
XIII, 240 pages
978-981-99-0070-1 (ISBN)
Description
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2022), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 25-26, 2022. 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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
19 s/w Abbildungen, 134 farbige Abbildungen
XIII, 240 p. 153 illus., 134 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
440 gr
ISBN-13
978-981-99-0070-1 (9789819900701)
DOI
10.1007/978-981-99-0071-8
Schweitzer Classification
Other editions
Additional editions
Valentina Emilia Balas | Vijay Bhaskar Semwal | Anand Khandare
Intelligent Computing and Networking
Proceedings of IC-ICN 2022
E-Book
03/2023
1st Edition
Springer
€128.39
Available for download
Persons
Valentina E. Balas is currently Full Professor at "Aurel Vlaicu" University of Arad, Romania. She is author of more than 300 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is member of EUSFLAT, ACM and a SM IEEE, member in TC - EC and TC-FS (IEEE CIS), TC - SC (IEEE SMCS), Joint Secretary FIM.
Vijay Bhaskar Semwal is working as Assistant professor (CSE) at NIT Bhopal since 5 February 2019. Before joining NIT Bhopal, he was working at NIT Rourkela. He has also worked with IIIT Dharwad as Assistant Professor(CSE) for 2 years (2016-2018) and he has also worked as 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, Dy. HOD, Computer Engineering, Thakur college of engineering and Technology, Mumbai with 16 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 total 50+ publications in national, international conferences and journals. He has 1 copyright and 2 patents. He guided various research and funded projects. He is worked as volume editor in springer conference on Intelligent Computing and Networking 2021. He is also reviewer in various journal and conferences.
Vijay Bhaskar Semwal is working as Assistant professor (CSE) at NIT Bhopal since 5 February 2019. Before joining NIT Bhopal, he was working at NIT Rourkela. He has also worked with IIIT Dharwad as Assistant Professor(CSE) for 2 years (2016-2018) and he has also worked as 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, Dy. HOD, Computer Engineering, Thakur college of engineering and Technology, Mumbai with 16 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 total 50+ publications in national, international conferences and journals. He has 1 copyright and 2 patents. He guided various research and funded projects. He is worked as volume editor in springer conference on Intelligent Computing and Networking 2021. He is also reviewer in various journal and conferences.