Details

Machine Learning, Advances in Computing, Renewable Energy and Communication


Machine Learning, Advances in Computing, Renewable Energy and Communication

Proceedings of MARC 2020
Lecture Notes in Electrical Engineering, Band 768

von: Anuradha Tomar, Hasmat Malik, Pramod Kumar, Atif Iqbal

309,23 €

Verlag: Springer
Format: PDF
Veröffentl.: 19.08.2021
ISBN/EAN: 9789811623547
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.</p>

<p>&nbsp;</p>
<p>Control Plane Systems Tracing and Debugging Existing Problems and Proposed Solution.- Distribution Expansion Planning in a Deregulated Environment.- Density Based Traffic Override Control System.- Reactive Power Pricing Framework in Maharashtra.- Design Optimization of Solar Thermal Energy Storage Tank: Using the Stratification Coefficient.- Investigation of Hydro Energy Potential and its Challenges in Himalayan State: Uttarakhand.- Big Data Preprocessing Phase in Engendering Quality Data.- Performance Evaluation of Sliding Mode Control for Under Actuated Systems based on Decoupling Algorithm.- Fuzzy Logic based Range Free Localization in WSN.- Analysis of Algorithms in Medical Image Processing.- Technoeconomic Feasibility and Sensitivity Analysis of Off Grid Hybrid Energy System.- Improving QoS of Cloudlet Scheduling via Effective Particle Swarm Model.- Optimal Planning of Green Hybrid Microgrid in Power Industry.- Effect of Loss Functions on Language Models in Question Answering Based Generative Chat-Bots.- Modeling and Implementation of Statechart for MPPT Control of Photovoltaic System in FPGA.- A Detailed Analysis of Adaptive Kernel Density-Based Outlier Detection in Volatile Time-Series.</p>
<p><b>Dr. Anuradha Tomar</b> has 12 years of experience in research and academics. She is currently working as Postdoctoral Researcher in Electrical Energy Systems Group, Eindhoven University of Technology (TU/e), the Netherlands, and is responsible for project management and research as a team member in European Commission’s Horizon 2020, UNITED GRID, and UNICORN projects. She is also associated as Associate Professor with the Electrical Engineering Department at JSS Academy of Technical Education, Noida, India. She has received her B.E. Degree in Electronics Instrumentation & Control with Honours in the year 2007 from the University of Rajasthan, India. In the year 2009, she has completed her M.Tech. Degree with Honours in Power System from National Institute of Technology, Hamirpur. She has received her Ph. D. in Electrical Engineering, from the Indian Institute of Technology Delhi (IITD). Dr. Anuradha Tomar has committed her research work efforts toward the development of sustainable, energy-efficient solutions for the empowerment of society and humankind. Her areas of research interest are photovoltaic systems, microgrid, energy conservation, and automation. She has authored or co-authored 69 research/review papers in various reputed international, national journals, and conferences. She is Editor for books with International Publication like Springer, and Elsevier. Her research interests include photovoltaic systems, microgrids, energy conservation, and automation. She has also filled seven Indian patents on her name. Dr. Tomar is Senior Member of IEEE, and Life Member of ISTE, IETE, IEI, and IAENG.</p>

<p><b>Dr. Hasmat Malik </b>(M’16, SM’20) received M.Tech. Degree in Electrical Engineering from National Institute of Technology (NIT) Hamirpur, Himachal Pradesh, India, and the Ph.D. Degree in Electrical Engineering from Indian Institute of Technology (IIT) Delhi. He is Chartered Engineer (CEng) and Professional Engineer (PEng). He is currently Research Fellow at BEARS, University-Town, NUS Campus, Singapore, since January 2019 and served as Assistant Professor for 5+ years at Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology (NSIT) Delhi, India. Dr. Hasmat organized five international conferences and proceedings have been published by Springer. He is Senior Member of the IEEE, USA, Life Member of Indian Society for Technical Education (ISTE), Life Member of (Institution of Electronics and Telecommunication Engineering (IETE), Life Member of International Society for Research and Development (ISRD), London, and Member of (Computer Science Teachers Association (CSTA), USA, Member of (Association for Computing Machinery (ACM) EIG, and Member of MIR Labs, Asia. He has published widely in international journals and conferences his research findings related to intelligent data analytic, artificial intelligence, and machine learning applications in power system, power apparatus, smart building & automation, smart grid, forecasting, prediction, and renewable energy sources. Dr. Hasmat has authored/co-authored more than 100 research papers, eight books, and thirteen chapters, published by IEEE, Springer, and Elsevier. His principle areas of research interests are artificial intelligence, machine learning, and big data analytics for renewable energy, smart building & automation, condition monitoring, and online fault detection & diagnosis (FDD).</p>

<p><b>Professor (Dr.) Pramod Kumar</b> is working as Professor, Head (CSE) & Dean (CSE & IT) in Krishna Engineering College, Ghaziabad, since January 2018. He also served as Director of the Tula’s Institute, Dehradun, Uttarakhand.&nbsp; He has more than 22 years of experience in academics. He completed his Ph.D. in Computer Science & Engineering in 2011 and M.Tech. (CSE) in 2006. He is Senior Member of IEEE (SMIEEE) and Joint Secretary of IEEE U.P Section. He has published widely in international journals and conferences his research findingrelated to computer network, Internet of Things(IoT), and machine learning. He has authored/co-authored&nbsp; more than 70 research papers and several chapters in edited books. He has supervised and co-supervised several M.Tech. and Ph.D. students. He has organized more than 10 IEEE international conferences and all the research paper of these conferences is now available in IEEE Explore. He is Editor of two books. He has conducted more than 15 Faculty Development Programs in the collaboration of EICT, IIT Roorkee, EICT, IIT Kanpur, and AKTU. He has organized IEEE National Workshop on research paper writing on March 27, 2017, and IEEE Women Symposium on February 21, 2016.</p>

<p><b>Atif Iqbal</b> is Fellow IET (UK), Fellow IE (India), and Senior Member IEEE, Vice-Chair, IEEE Qatar section, DSc (Poland), Ph.D. (UK) —Associate Editor, IEEE Trans. industrial electronics, IEEE ACCESS, Editor-in-Chief, I’manager Journal of Electrical Engineering, Former Associate Editor IEEE Trans. on industry application, Former Guest Associate Editor IEEE Trans. on power electronics, Full Professor at the Department of Electrical Engineering, Qatar University, and Former Full Professor at the Department of Electrical Engineering, Aligarh Muslim University (AMU), Aligarh, India.&nbsp; He is Recipient of the Outstanding Faculty Merit Award academic year 2014-2015 and research excellence awards 2015 and 2019 at Qatar University, Doha, Qatar. He received his B.Sc. (Gold Medal) and M.Sc. Engineering (Power System & Drives) degrees in 1991 and 1996, respectively, from the Aligarh Muslim University (AMU), Aligarh, India, and Ph.D. in 2006 from Liverpool John Moores University, Liverpool, UK.&nbsp; He obtained DSc (Habilitation) from Gdansk University of Technology in Control, Informatics and Electrical Engineering in 2019. He has been employed as &nbsp;Lecturer in the Department of Electrical Engineering, AMU, Aligarh, since 1991 where he served as Full Professor until August 2016. He is Recipient of Maulana Tufail Ahmad Gold Medal for standing first at B.Sc. Engg. (electrical) exams in 1991 from AMU. He has received several best research papers awards, e.g., at IEEE ICIT-2013, IET-SEISCON-2013, SIGMA 2018, IEEE CENCON 2019, IEEE ICIOT 2020, and Springer ICRP 2020. He has published widely in international journals and conferences his research findings related to power electronics, variable speed drives and renewable energy sources. Dr. Iqbal has authored/co-authored more than 440 research papers and four books and several chapters in edited books. He has supervised several large R&D projects worth more than multi-million USD. He has supervised and co-supervised several Ph.D. students. His principal areas of research interest are smart grid, complex energy transition, active distribution network, electric vehicles drivetrain, sustainable development and energy security, distributed energy generation, and multiphase motor drive system.</p>

<p>&nbsp;</p><br>
<p>This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.</p>

<p>&nbsp;</p>
Presents recent innovative research in the field of computational intelligence and renewal energy Discusses the outcomes of MARC 2020, held in Ghaziabad, India Serves as a reference resource for researchers and practitioners in academia and industry

Diese Produkte könnten Sie auch interessieren:

DCC for Railway Modellers
DCC for Railway Modellers
von: Fiona Forty
EPUB ebook
22,49 €
Ground Penetrating Radar
Ground Penetrating Radar
von: Mohammed Serhir, Dominique Lesselier
EPUB ebook
142,99 €