Sustainable Communication Networks and Application
Springer Verlag, Singapore
978-981-15-8676-7 (ISBN)
Dr. P. Karrupusamy is working as a Professor and Head in the Department of Electrical and Electronics Engineering at Shree Venkateshwara Hi-Tech Engineering College, Erode, India. In 2017, he had completed doctorate in Anna University, Chennai, and in 2007, he had completed his postgraduate Power Electronics and Drives in Government College of Technology, Coimbatore, India. He has more than 12 years of teaching experience. He has published more than 60 papers in national and international journals and conferences. He has acted as Conference Chair in IEEE and Springer international conferences and Guest Editor in reputed journals. His research area includes modeling of PV arrays and adaptive neuro-fuzzy model for grid connected photovoltaic system with multilevel inverter. Dr. Isidoros Perikos received the Diploma of Computer Engineer in 2008, the M.Sc. and the Ph.D. on Computer Science from the Department of Computer Engineering and Informatics, University of Patras, in 2010 and 2016, respectively. He is currently an Assistant Professor (adjust) at the Computer Engineering and Informatics Department. His main research interests include artificial intelligence, machine learning, data mining and knowledge extraction, human–computer interaction, natural language processing, and affective computing. He has published over 80 papers in international conferences, journals, and workshops. He is a member of IEEE, ACM, and the Artificial Intelligence in Education Society. Dr. Fuqian Shi is currently working as a Professor at Wenzhou Medical University, College of Information and Engineering, Prague. He had completed his Ph.D. in Computer Science and Application at Zhejiang University, P.R. China, and completed his M.S. in Control Theory and Engineering at Zhejiang University of Technology, P.R. China. He had published more than 100 papers in national and international journals. He is the reviewer and editorial board member in many reputedjournals. His research interest includes computer networks, computer programming, computer graphics, image processing, data structure, operating system, and medical informatics. Dr. Tu N. Nguyen (Senior Member, IEEE) received the Ph.D. degree in Electronic Engineering from the National Kaohsiung University of Science and Technology (formerly, National Kaohsiung University of Applied Sciences) in 2016. He was a Postdoctoral Associate with the Department of Computer Science & Engineering, University of Minnesota—Twin Cities in 2017. In 2016, he joined the Missouri University of Science and Technology as a Postdoctoral Researcher with the Intelligent Systems Center. He is currently an Assistant Professor with the Department of Computer Science, Purdue University Fort Wayne. His research interests include design and analysis of algorithms, network science, cyber-physical systems, and cybersecurity. He has served as the TPC Chair for the NICS 2019, SoftCOM (25th), and ICCASA 2017,the Publicity Chair for iCAST 2017 and BigDataSecurity 2017, and the Track Chair for ACT 2017. He has also served as a technical program committee member for more than 70 premium conferences in the areas of network and communication such as INFOCOM, Globecom, ICC, and RFID. He has been serving as an Associate Editor for the EURASIP Journal on Wireless Communications and Networking since 2017 and IEEE ACCESS since 2019. He has also been the Editorial Board of Cybersecurity journal, Internet Technology Letters since 2017, the International Journal of Vehicle Information and Communication Systems since 2017, the International Journal of Intelligent Systems Design and Computing since 2017, and IET Wireless Sensor Systems since 2017.
Chapter 1. A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis based on Recurrent Neural Network.- Chapter 2. An Automatic Violence Detection Technique Using 3D Convolutional Neural Network.- Chapter 3. An Online E-cash Scheme with Digital Signature Authentication Cryptosystem.- Chapter 4. Smart Electrification of Rural Bangladesh through Smart Grids.- Chapter 5. Dissimilar Disease Detection using Machine Learning Techniques for Variety of Leaves.- Chapter 6. Face Aging through Uniqueness Conserving by cGAN with Separable Convolution.- Chapter 7. Performance Evaluation of Clustering Techniques for Financial Crisis Prediction.- Chapter 8. Abatement of Traffic Noise Pollution on Educational Institute and Visualization by Noise Maps using Computational Software: A Case Study.- Chapter 9. RainRoof: Automated Shared Rainwater Harvesting Prediction.- Chapter 10. A Smart Biometric-based Public Distribution System with Chatbot and Cloud Platform Support.- Chapter 11. Optimization of Job Scheduling with Dynamic Bees Approach.- Chapter 12. Rule Based Part of Speech Tagger for Arabic Question Answering System.- Chapter 13. FPGA Implementation of Turbo Product Codes for Error Correction.- Chapter 14. Design of Retrodirective Arrays using Hybrid Couplers for Autonomous Car.- Chapter 15. Enhanced Analysis of Brain MR Images for Detection of Abnormal Tissues using Deep Learning.
| Erscheinungsdatum | 29.01.2021 |
|---|---|
| Reihe/Serie | Lecture Notes on Data Engineering and Communications Technologies ; 55 |
| Zusatzinfo | 254 Illustrations, color; 114 Illustrations, black and white; XX, 687 p. 368 illus., 254 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 981-15-8676-4 / 9811586764 |
| ISBN-13 | 978-981-15-8676-7 / 9789811586767 |
| Zustand | Neuware |
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