Recent Innovations in Computing
Proceedings of ICRIC 2021, Volume 2
(Sprache: Englisch)
This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8-9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland,...
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This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8-9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.Inhaltsverzeichnis zu „Recent Innovations in Computing “
AWRPS-ROBO: Automated Weed Removal and Pesticides Spray.- Designing of Cavity Filter with Slot Coupling Mechanism for ku Band.- Use of Smart Mobile Applications with IoT in Diseases Prediction System for Apple Orchards.- Review on Miniaturized Flexible Wearable Antenna for Body Area Network.- DEERS: Design Energy Efficient Routing Scheme for Harsh Environment Monitoring in HWSNs.- Context Enriched Machine Learning based Approach for Sentiment Analysis.- Recommending Books using RNN.- A Survey on Applications of Unmanned Aerial Vehicles (UAVs).- Early Detection of Influenza using Machine Learning Techniques.- Fuzzy Time-Series Models Based on Intuitionistic Fuzzy, Rough Set Fuzzy and Differential Evolution.- Genetic Algorithm Application on 3-D Pipe Routing: A Review.- Directed Undersampling using Active Learning for Particle Identification.- Smart Agriculture using Internet of Things: An Empirical Study.- A Study on the Implementation of Secure VANETs using FPGA.- Massive MIMO System -Overview, Challenges and Course of Future Research.- Millimeter-Wave Dual-Band (32/38 GHz) Microstrip Patch Antenna for 5G Communication.- Design and Analysis of Single band and Wideband Wineglass Shaped Patch Antenna for WLAN and Satellite Applications.
Autoren-Porträt
Dr. Pradeep Kumar Singh is currently working as Professor and Head in the department of CS at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India. Dr. Singh is Life Membership of Computer Society of India (CSI), Life Member of IEI and promoted to Senior Member Grade from CSI and ACM. He is Associate Editor of the International Journal of Information System Modeling and Design (IJISMD), Indexed by Scopus and Web of Science. He is also Associate Editor of International Journal of Applied Evolutionary Computation (IJAEC), IGI Global USA, Security and Privacy, Wiley & International Journal of Information Security and Cybercrime (IJISC) a scientific peer-reviewed journal from Romania. He has published nearly 122 research papers in various International Journals and Conferences of repute. Some of his publications are in, e.g., IEEE Access, Applied Intelligence, Multimedia Tools and Applications, and Computer Communications. He has received three sponsored research projects grant from Govt. of India and Govt. of HP worth Rs 25 Lakhs. He has edited a total 12 books from Springer and Elsevier. He has Google scholar citations 1450, H-index 17, and i-10 Index 45. Dr. Yashwant Singh is Head & Associate Professor in the Department of Computer Science & Information Technology at the Central University of Jammu.Yashwant completed his Ph.D. from Himachal Pradesh University Shimla, his post Graduate study from Punjab Engineering College Chandigarh and undergraduate studies from SLIET Longowal. His research interests lie in the area of Internet of Things, Vulnerability Assessment of IoT and Embedded Devices, Wireless Sensor Networks, Secure and Energy Efficient Routing, ICS/SCADA Cyber Security, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning, Electrical Engineering.
Bibliographische Angaben
- 2022, 1st ed. 2022, XV, 843 Seiten, 303 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Herausgegeben: Pradeep Kumar Singh, Yashwant Singh, Jitender Kumar Chhabra, Zoltán Illés, Chaman Verma
- Verlag: Springer, Berlin
- ISBN-10: 9811688915
- ISBN-13: 9789811688911
Sprache:
Englisch
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