Intelligent Communication Technologies and Virtual Mobile Networks: Proceedings of ICICV 2022
G. Rajakumar · Ke-Lin Du · Chandrasekar Vuppalapati · Grigorios N. Beligiannis
jul 2022 · Lecture Notes on Data Engineering and Communications Technologies Libro 131 · Springer Nature
Libro electrónico
825
Páginas
reportLas calificaciones y opiniones no están verificadas. Más información
Acerca de este libro electrónico
The book is a collection of high-quality research papers presented at Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), held at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India, during February 10–11, 2022. The book shares knowledge and results in theory, methodology and applications of communication technology and mobile networks. The book covers innovative and cutting-edge work of researchers, developers and practitioners from academia and industry working in the area of computer networks, network protocols and wireless networks, data communication technologies and network security.
Acerca del autor
Dr. G. Rajakumar, Controller of Examination, Professor in Department of Electronics and Communication Engineering in Francis Xavier Engineering College, Tirunelveli. He has 14.5 years of experience. He received his B.E. (Electronics and Instrumentation Engineering) in National Engineering College, Kovilpatti under M. S. University Tirunelveli, 2004, M.E. (VLSI Design) in Arulmigu Kalasalingam College of Engineering in Srivilliputhur under Anna University, Chennai, 2006, M.B.A. (Human Resource Management) under Annamalai University, 2009, Ph.D. in Information and Communication Engineering with the specialization in VLSI Design under M. S. University 2014, Postdoctoral Fellow in VLSI Design under Delhi Technological University, Delhi, 2016 and Honorary and Doctor of Letters (D.Litt.) in Information and Communication Engineering under University of South America, USA 2017. He has published 4 patents and 5 International Engineering Books. He has published more than 30 international/national journals. He actively participated in more than 17 international conference, 31 national conferences.
Ke-Lin Du received the PhD in electrical engineering from Huazhong University of Science and Technology, China, in 1998. He founded Xonlink Inc., Ningbo, China in 2014. He was Chief Scientist at Enjoyor Inc., Hangzhou, China from 2012 to 2014. He was on research staff at Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada from 2001 to 2010. He has been an Affiliate Associate Professor at Concordia University since 2011. Prior to 2001, he was on technical staff with Huawei Technologies, China Academy of Telecommunication Technology, and Chinese University of Hong Kong. He visited Hong Kong University of Science and Technology in 2008.Ke-Lin Du has authored 5 books (Neural Networks in a Softcomputing Framework, Springer, London, 2006; Wireless Communication Systems, Cambridge University Press, New York, 2010; Neural Networks and Statistical Learning, Springer, London, 2014, and 2nd edition, 2019; Search and Optimization by Metaheuristics, Springer, 2016), and coedited 10 books (Springer). He has also published over 50+ papers, and has 6 issued U.S. patents and 30+ Chinese patents. Currently, his research interests are signal processing, wireless communications, and machine learning. He has co-supervised 12 graduate students.Ke-Lin Du has been a Senior Member of the IEEE since 2009. He is/was on Editorial Board or as Associate Editor of dozens of journals, including IET Signal Processing (2007), Circuits, Systems & Signal Processing (2009), Mathematics (2021), AI (2021), and IEEE Spectrum Chinese Edition (2012). He served as chair of 60+ international conferences. He was included in Marquis Who’s Who in 2018.
Chandrasekar Vuppalapati is a Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet of Things (IoT) and Software Product and Program Management. Chandra held Engineering and Product leadership roles at GE Healthcare, Cisco Systems, Samsung, Deloitte, St. Jude Medical and Lucent Technologies, Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies and Web and Data Mining for Master’s program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture Advisory Roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators and Students with Virtual Reality Technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco, USA, and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Master’s Program, specializing in Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA.
Grigorios N. Beligiannis was born in Athens, Greece, in 1974. He graduated from the Department of Computer Engineering and Informatics of the University of Patras in 1997. He finished his postgraduate studies in “Computer and Information Technology” in 2000 and his doctoral dissertation in 2002 at the same time department. In 2007, he was elected to the lecturer’s degree with knowledge area “Management Information Systems”. In 2011, he has evolved at the rank of Assistant Professor, in 2016, at the rank of Associate Professor and in 2020, at the rank of Professor with subject “Intelligent Information Systems”. He has 42 published research papers in international scientific journals, 45 published papers in scientific conferences and 3 chapters in edited book series. He is Associate Editor of International Journal of Artificial Intelligence and Member of the Editorial Board of Applied Soft Computing, Helyion, International Journal of Intelligent Information Systems and Artificial Intelligence Research.
Ke-Lin Du received the PhD in electrical engineering from Huazhong University of Science and Technology, China, in 1998. He founded Xonlink Inc., Ningbo, China in 2014. He was Chief Scientist at Enjoyor Inc., Hangzhou, China from 2012 to 2014. He was on research staff at Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada from 2001 to 2010. He has been an Affiliate Associate Professor at Concordia University since 2011. Prior to 2001, he was on technical staff with Huawei Technologies, China Academy of Telecommunication Technology, and Chinese University of Hong Kong. He visited Hong Kong University of Science and Technology in 2008.Ke-Lin Du has authored 5 books (Neural Networks in a Softcomputing Framework, Springer, London, 2006; Wireless Communication Systems, Cambridge University Press, New York, 2010; Neural Networks and Statistical Learning, Springer, London, 2014, and 2nd edition, 2019; Search and Optimization by Metaheuristics, Springer, 2016), and coedited 10 books (Springer). He has also published over 50+ papers, and has 6 issued U.S. patents and 30+ Chinese patents. Currently, his research interests are signal processing, wireless communications, and machine learning. He has co-supervised 12 graduate students.Ke-Lin Du has been a Senior Member of the IEEE since 2009. He is/was on Editorial Board or as Associate Editor of dozens of journals, including IET Signal Processing (2007), Circuits, Systems & Signal Processing (2009), Mathematics (2021), AI (2021), and IEEE Spectrum Chinese Edition (2012). He served as chair of 60+ international conferences. He was included in Marquis Who’s Who in 2018.
Chandrasekar Vuppalapati is a Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet of Things (IoT) and Software Product and Program Management. Chandra held Engineering and Product leadership roles at GE Healthcare, Cisco Systems, Samsung, Deloitte, St. Jude Medical and Lucent Technologies, Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies and Web and Data Mining for Master’s program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture Advisory Roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators and Students with Virtual Reality Technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco, USA, and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Master’s Program, specializing in Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA.
Grigorios N. Beligiannis was born in Athens, Greece, in 1974. He graduated from the Department of Computer Engineering and Informatics of the University of Patras in 1997. He finished his postgraduate studies in “Computer and Information Technology” in 2000 and his doctoral dissertation in 2002 at the same time department. In 2007, he was elected to the lecturer’s degree with knowledge area “Management Information Systems”. In 2011, he has evolved at the rank of Assistant Professor, in 2016, at the rank of Associate Professor and in 2020, at the rank of Professor with subject “Intelligent Information Systems”. He has 42 published research papers in international scientific journals, 45 published papers in scientific conferences and 3 chapters in edited book series. He is Associate Editor of International Journal of Artificial Intelligence and Member of the Editorial Board of Applied Soft Computing, Helyion, International Journal of Intelligent Information Systems and Artificial Intelligence Research.
Califica este libro electrónico
Cuéntanos lo que piensas.
Información de lectura
Smartphones y tablets
Instala la app de Google Play Libros para Android y iPad/iPhone. Como se sincroniza de manera automática con tu cuenta, te permite leer en línea o sin conexión en cualquier lugar.
Laptops y computadoras
Para escuchar audiolibros adquiridos en Google Play, usa el navegador web de tu computadora.
Lectores electrónicos y otros dispositivos
Para leer en dispositivos de tinta electrónica, como los lectores de libros electrónicos Kobo, deberás descargar un archivo y transferirlo a tu dispositivo. Sigue las instrucciones detalladas que aparecen en el Centro de ayuda para transferir los archivos a lectores de libros electrónicos compatibles.
