Artificial Intelligence and Evolutionary Computations in Engineering Systems
Computational Algorithm for AI Technology, Proceedings of ICAIECES 2020
(Sprache: Englisch)
This book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and...
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This book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
Inhaltsverzeichnis zu „Artificial Intelligence and Evolutionary Computations in Engineering Systems “
Chapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm.- Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques.- Chapter 3. Multilevel Inverter based STATCOM for Distribution System.- Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors.- Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power.- Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization.- Chapter 7. Eco-Routing - To Reduce Vehicle CO2 Emissions by CACC: An IoT Application.- Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero.- Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller.- Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics.- Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram.- Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects.- Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks.- Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture.- Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.
Autoren-Porträt
Dr. BalaVenkatesh is the founding academic director of the Centre for Urban Energy (CUE) at Ryerson University. He is also Tenured Professor in the Department of Electrical and Computer Engineering. He specializes in electric power systems with interests in transmission and distribution systems, renewables, energy storage and smart grids. He works with industry partners such as Hydro One, Toronto Hydro, the Independent Electricity System Operator (IESO), Schneider Electric, eCAMION, Temporal Power, Alectra Utilities and Tata Power Delhi Distribution Limited. In total, his extramural funding is over $18 million. In the last two decades, he has worked on over 30 consulting and research projects in India and Canada. With a Ph.D. from Anna University (India), Dr. Venkatesh is a registered professional engineer in Ontario, Canada. Since 1994, he has also taught at the University of New Brunswick, Multimedia University (Malaysia) and Anna University. Dr. Venkatesh has published over 230 journal papers, conference papers, technical reports and book chapters. He has supervised over 60 M.A.Sc., Ph.D. and PDF candidates.Dr. S. Chandramohan is the founding director of the Anna University - Ryerson University Urban Energy Centre at Anna University, Chennai. He is also Professor and Head of Electrical and Electronics Engineering department in Anna University. He is specialized in electric power systems with interests in energy management, smart energy storage systems and smart microgrids. He works with industry and utility partners in Tamil Nadu. He has guided six Ph.D. students and involved in consulting and research projects in India. Dr. S. Chandramohan has published over 30 journals and conference papers. He is also instrumental in starting a unique AICTE approved postgraduate programme in "Power Engineering and Management" since 2013 at Anna University with an intake of 25 students.
Dr. Subhransu Sekhar
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Dashis currently working as Professor and Head of Electrical Engineering at Government College of Engineering, Keonjhar, Odisha. He is specialized in electric power systems with interests in smart grid, energy management, power system operation and control, AI techniques and power converters.. He has guided twenty-five Ph.D. students and involved in consulting and research projects in India. He has published over 250 manuscripts in peer-reviewed journal and international conference. He is a visiting research scholar of Le Havre University, France, and University of Wisconsin, Milwaukee, USA, and Visiting Professor at Francois Rabelais University, POLYTECH, Tours, France. He is an author of three books and published more than 20 chapters in Springer series. He obtained his Ph.D. degree from Anna University, Chennai, in the year 2006, master's degree from UCE, Burla, Odisha, in 1996, and graduation degree from Institution of Engineers, India, in the year 1994. He is having more than 22 years of teaching and research experience. He is Member of IEEE, Institution of Engineers (India), and Life Member of ISTE.
Dr. 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 the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as the associate editors of the several reputed international journals. Dr. Das has 18,000+ Google Scholar citations and an H-index of 63 till date. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE). He is also ther
Dr. 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 the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as the associate editors of the several reputed international journals. Dr. Das has 18,000+ Google Scholar citations and an H-index of 63 till date. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE). He is also ther
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Bibliographische Angaben
- 2021, 1st ed. 2022, XII, 402 Seiten, 192 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: S. Chandramohan, Bala Venkatesh, Subhransu Sekhar Dash, Swagatam Das, C. Sharmeela
- Verlag: Springer, Berlin
- ISBN-10: 9811626731
- ISBN-13: 9789811626739
Sprache:
Englisch
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