Recent Trends in Communication and Intelligent Systems
Proceedings of ICRTCIS 2021
(Sprache: Englisch)
This book presents best selected research papers presented at the Third International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2021), organized by Arya College of Engineering and IT, Jaipur, on 22-23 October 2021....
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This book presents best selected research papers presented at the Third International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2021), organized by Arya College of Engineering and IT, Jaipur, on 22-23 October 2021. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.
Inhaltsverzeichnis zu „Recent Trends in Communication and Intelligent Systems “
Chapter 1. Deep Learning-Based Adaptive Deep Belief Neural Networks For Neonatal Apnea Level Classification Using Pre-Term Birth Health Record.- Chapter 2. Hybrid Feature Extraction Technique for Tamil Automatic Speech Recognition System in Noisy Environment.- Chapter 3. Implementation and Image Transformation for Ground Penetration Image Radar System.- Chapter 4. Effect of Geospatial Weather Features on COVID-19 Spread in India using Machine Learning.- Chapter 5. Adiabatic Logic Code Converters Design at Different Sub Micron Technologies.- Chapter 6. A Cross connected Switch Capacitor Multi Level Inverter: A Proposed Topology and its Analysis.- Chapter 7. A Comparative study on Sentiment Analysis of Uber and Ola Customer Reviews based on Machine Learning Approaches.- Chapter 8. A Cost-Effective IoT Assisted Framework For Automatic Irrigation.- Chapter 9. Constrained Optimization based Routing for Multipath and Multihop Propagation in WSN.- Chapter 10. Performance comparison of fuzzy logic and evolutionary algorithm optimized controller for a multi-area power system.- Chapter 11. Leveraging CNNs for real-time pothole detection.- Chapter 12. IoT Devices for Detecting and Machine Learning for Predicting COVID-19 Outbreak.- Chapter 13. Text Detection from Scene and Born Images: How Good is Tesseract?.- Chapter 14. Load Frequency Control Of Hybrid Power System Integrated With Solar-Thermal And Geothermal System.- Chapter 15. An Improved Stock Market Index Prediction System based on LSTM.
Autoren-Porträt
Dr. Aditya Kumar Singh Pundir (B.E., M.Tech. and Ph.D.) is currently working as Professor, Mentor Incubation & IPR Activities in Department of Electronics and Communication Engineering at Arya College of Engineering & IT, Jaipur. His current research interests include IoT-based memory testing, built-in self-test using embedded system design, machine learning, algorithms for CAD and signal processing. He has published six patents, several book chapters and three books to his credit and also authored more than 20 research papers in peer-reviewed refereed journals and conferences. Dr. Pundir was Organizing Chair, Convener and Member of the steering committee of several international conferences. Dr. Pundir is Life Member of the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), Professional Member of Association for Computing Machinery (ACM) and IEEE. Dr. Neha Yadav receivedher Ph.D. in Mathematics from Motilal Nehru National Institute of Technology, (MNNIT) Allahabad, India, in year 2013. She completed her postdoctorate from Korea University, Seoul, South Korea. She is Receiver of Brain Korea (BK-21) postdoctoral fellowship given by Government of Republic of Korea. Prior to joining NIT Hamirpur, she taught courses and conducted research at BML Munjal University,Gurugram, Korea University Seoul , S. Korea and The NorthCap University, Gurugram. Her major research area include numerical solution of boundary value problems, artificial neural networks and optimization.
Harish Sharma is Associate professor at Rajasthan Technical University, Kota, in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engg. from Govt.
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Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is Secretary and one of the founder members of Soft Computing Research Society of India. He is Life Time Member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the journals "Memetic Computing" and "Journal of Experimental and Theoretical Artificial Intelligence". His primary area of interest is nature inspired optimization techniques. He has contributed in more than 56 papers published in various international journals and conferences.
Dr. Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization) and Ph. D. degrees, all from Jadavpur University, India, in 2003, 2005 and 2009, respectively. Swagatam Das is currently serving as Associate Professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing, pattern recognition, multi-agent systems and wireless communication. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conferences. He is Founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as Associate Editors of the Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Computational Intelligence Magazine, IEEE Access and so on. He is Editorial Board Member of Progress in Artificial Intelligence (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence(E
Dr. Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization) and Ph. D. degrees, all from Jadavpur University, India, in 2003, 2005 and 2009, respectively. Swagatam Das is currently serving as Associate Professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing, pattern recognition, multi-agent systems and wireless communication. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conferences. He is Founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as Associate Editors of the Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Computational Intelligence Magazine, IEEE Access and so on. He is Editorial Board Member of Progress in Artificial Intelligence (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence(E
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Bibliographische Angaben
- 2023, 1st ed. 2022, XVI, 334 Seiten, 152 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Aditya Kumar Singh Pundir, Neha Yadav, Harish Sharma, Swagatam Das
- Verlag: Springer, Berlin
- ISBN-10: 9811913269
- ISBN-13: 9789811913266
Sprache:
Englisch
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