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This book comprises select proceedings of the international conference ETAEERE 2020. This volume covers latest research in advanced approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, and real-time control applications. The contents of this volume can be…mehr
This book comprises select proceedings of the international conference ETAEERE 2020. This volume covers latest research in advanced approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, and real-time control applications. The contents of this volume can be useful for researchers as well as professionals working in control and automation.
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Autorenporträt
Dr. Akash Kumar Bhoi has completed his B.Tech. (Biomedical Engineering) from Trident Academy of Technology, BPUT University, Odisha and M.Tech. (Biomedical Instrumentation) from Karunya University, Coimbatore in the year 2009 and 2011 respectively. In 2019 he is awarded Ph.D. from Sikkim Manipal University, India. He is working as Assistant Professor in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), India since 2012. He is member of ISEIS and IAENG, associate member of IEI, UACEE and editorial board member reviewer of Indian and international journals. His areas of research are biomedical signal processing, medical image processing, sensors and transducers, and medical instrumentation. He has published several papers in national and international journals and conferences. He has also served on numerous organizing panels for the international conferences and workshops. Dr. Pradeep Kumar Mallick is currently working as Associate Professor in the School of Computer Engineering , Kalinga Institute of Industrial technology (KIIT) Deemed to be University, Odisha, India and Post Doctoral Fellow (PDF) in Kongju National University South Korea, PhD from Siksha O Anusandhan University, M. Tech. (CSE) from Biju Patnaik University of Technology (BPUT), and MCA from Fakir Mohan University Balasore, India. Besides academics, he is also involved various administrative activities, Member of Board of Studies, Member of Doctoral Research Evaluation Committee, Admission Committee etc. His area of research includes Algorithm Design and Analysis, and Data Mining, Image Processing, Soft Computing, and Machine Learning. He has published 5 books and more than 55 research papers in national and international journals and conference proceedings. Dr. Valentina Emilia Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad , Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 280 research papers in refereed journals and international conferences . Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC -Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS),member in TC - Soft Computing (IEEE SMCS). Dr. Bhabani Shankar Prasad Mishra is working as an Associate Professor and Associate Dean in School of Computer Engineering at KIIT University, Bhubaneswar, Odisha since 2006. He has received his PhD degree in Computer Science from F.M.University, Balasore, Odisha in 2011. He completed his Post Doctoral Research from Soft Computing Laboratory, Yonsei University, Seoul, South Korea under the Technology Research Program for Brain Science through the National Research Foundation, Ministry of Education, Science & Technology, South Korea. His research interest includes Evolutionary Computation, Neural Networks, Pattern Recognition, Dataware housing and Mining, and Big Data. He has already published about 61 research papers in refereed journals and conferences, has published one book and edited four books in his credit. He is also acting as an editorial member of various journals.
Inhaltsangabe
Comparative Analysis of Sic and Gan Devices.- A Review on Finding Optimum Paths with Genetic and Annealing Algorithms.- Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules.- Discrete Wavelet Transform for CNN-BiLSTM-based Violence Detection.- Agrochain: Ascending Blockchain Technology towards Smart Agriculture.- Random Subspace Based Hybridized SVM Classification for High Dimensional Data.- AlphaAI: Custom Machine Learning Visualization Tool.- Dynamic Frequency Control of a Multi-Area Renewable Power System Incorporating with Energy Storage Technologies.- A Short Survey on Real-Time Object Detection and its Challenges.- Small Object Detection from Video and Classification using Deep Learning.- An efficient IoT Technology cloud based Pollution Monitoring System.
Comparative Analysis of Sic and Gan Devices.- A Review on Finding Optimum Paths with Genetic and Annealing Algorithms.- Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules.- Discrete Wavelet Transform for CNN-BiLSTM-based Violence Detection.- Agrochain: Ascending Blockchain Technology towards Smart Agriculture.- Random Subspace Based Hybridized SVM Classification for High Dimensional Data.- AlphaAI: Custom Machine Learning Visualization Tool.- Dynamic Frequency Control of a Multi-Area Renewable Power System Incorporating with Energy Storage Technologies.- A Short Survey on Real-Time Object Detection and its Challenges.- Small Object Detection from Video and Classification using Deep Learning.- An efficient IoT Technology cloud based Pollution Monitoring System.
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