Innovations in Electrical and Electronic Engineering (eBook, PDF)

Proceedings of ICEEE 2023, Volume 2
Redaktion: Shaw, Rabindra Nath; Shimi, S. L.; Ghosh, Ankush; Makhilef, Saad; Siano, Pierluigi

• Format: PDF

Produktbeschreibung

This book features selected high-quality papers presented at the 2023 International Conference on Electrical and Electronics Engineering (ICEEE 2023), organized at Chitkara University, Himachal Pradesh in August 2023. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics-power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing and others. The book brings both single- and multidisciplinary research on these topics to provide the most up-to-date information in one place. The book offers an asset for researchers from both academia and industries involved in advanced studies.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 703
• Erscheinungstermin: 15. Februar 2024
• Englisch
• ISBN-13: 9789819986613
• Artikelnr.: 70001873

Autorenporträt

Rabindra Nath Shaw is currently working as Adjunct Professor, Chandigarh University, Chandigarh, India and also worked as Director, International Relations, Bharath Institute of Higher Education & Research (Deemed to be University), Chennai, India. Before joining BIHER he has served also Galgotias University as Director, IR&C, He is an alumnus of the Applied Physics department, University of Calcutta, India. He is a Senior Member of IEEE Industry Application Society, USA and Fellow of Nikhil Bharat Shiksha Parishad, India. Dr. Shaw is a global leader in organizing International conferences. His brand of world leading conference series includes IEEE International Conference on Computing, Power and Communication Technologies (GUCON), IEEE International Conference on Computing, Communication and Automation (ICCCA), IEEE IAS Global Conference on Emerging Technologies (GlobConET), International Conference on Electronics & Electrical Engineering (ICEEE) , International Conference on Advances in Computing and Information Technology (ICACIT) etc. He holds the position of Conference Chair, Publication Chair, and Editor for these conferences. These Conferences are held in collaboration with various international universities like AurelVlaicu University of Arad, University of Malaya, University of Siena. Many world leaders are working with Dr. Shaw in these conferences. Most of these conferences are fully sponsored by IEEE Industry Applications Society, USA. He is also an expert in organizing International Seminars/Webinars/ Faculty Development Programme in collaboration with leading institutes across the world. Pierluigi Siano (M'09-SM'14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. Since 2021 he has been a Distinguished Visiting Professor in the Department of Electrical & Electronic Engineering Science, University of Johannesburg. His research activities are centered on demand response,  energy management,  the integration of distributed energy resources in smart grids, electricity markets, and planning and management of power systems. In these research fields, he has co-authored more than 700 articles including more than 410 international journals that received in Scopus more than 18000 citations with an H-index equal to 65. In the period 2019-2022 he has been awarded as a Highly Cited Researcher in Engineering by Web of Science Group. He has been the Chair of the IES TC on Smart Grids. He is Editor for the Power & Energy Society Section of IEEE Access, IEEE TRANSACTIONS ON POWER SYSTEMS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE SYSTEMS. Saad Mekhilef is an IEEE and IET Fellow. He is a Distinguished Professor at the School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne,  Australia, an Honorary Professor at the Department of Electrical Engineering, University of Malaya, and a distinguished visiting professor at the Institute of Sustainable Energy, Universiti Tenaga Nasional, Malaysia. He authored and co-authored more than 600 publications in academic journals and proceedings, five books with more than 46,000 citations, and more than 85 Ph.D. students who graduated under his supervision. He serves as an editorial board member for many top journals, such as IEEE Transactions on Power Electronics, IEEE Open Journal of Industrial Electronics, IET Renewable Power Generation, E-Prime, Journal of Power Electronics, and International Journal of Circuit Theory and Applications. His research interests include Power Conversion Techniques, Control of Power Converters, Maximum Power Point Tracking (MPPT), Renewable Energy, and Energy Efficiency. Ankush Ghosh is Senior member of IEEE, Fellow of IETE currently working as Adjunct Professor, Chandigarh University, Chandigarh, India. He has received his Ph.D. (Engg.) degree from Jadavpur University, India in 2010. He was a research fellow of the Advanced Technology Cell- DRDO, Govt. of India. He was awarded National Scholarship by HRD, Govt. of India. He has outstanding research experiences and published 6 edited books; 4 from Springer & 2 from Elsevier; 3 National & 8 International patents and more than 120 research papers indexed in Scopus/Web of Science. He is serving as an editorial board member of several international journals including Chief Editor. He has more than 15 years of experience in teaching, research as well as industry. His UG and PG teaching assignments include Microprocessor and microcontroller, AI, IOT, Embedded and real time systems etc. He has delivered Keynote/Invited lecture in a number of international seminar/conferences, refreshers courses, and FDPs. He has guided a large number of M.Tech and Ph.D. students. Dr. Ghosh is an active member of IEEE and organized a number Seminars and workshops in association with IEEE. He is an editor & organizing committee member of the Conference series GUCON, ICCCA, ICEEE, ICACIT. He is a He is a Start-up India Mentor and Global Startup Advisor of Wadhwani NEN. He has reviewed and mentored more than 50 start-ups. He has received award for contributing in Innovate India programme from AICTE- DST, Govt. of India in 2019 and 2020. He has received an appreciation award from AICTE, DST, TI, IIMB, NSRCEL, and myGOV for fostering students to strengthen the ecosystem bridging Government, Academia, and Industry in the year 2021. Shimi S. L. is currently working as Associate Professor at Punjab Engineering College (Deemed to be University), Chandigarh. She did her Postdoc from Luleå University of Technology, Sweden during 2019 to 2021. Her research Interests are Power Electronics and Drives, Digital Control, ANN & Fuzzy Logic Applications, FACTS, Renewable Energy, Soft Computing Techniques, MATLAB with dSpace Interface, MATLAB with Arduino Interface, MATLAB / SIMULINK and SimPowerSystem toolbox, Optimization techniques such as genetic algorithm and particle swarm optimization, Renewable etc.

Inhaltsangabe

Optimization of Cloud Migration Parameters using Novel Linear Programming Technique.- A Novel approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks.- Complex Social Networks: Dynamics, Dynamics, Do-mains & Dimensions.- Enhancing Road Safety and Efficiency in Vehicular Ad-Hoc Networks through Anomaly Detection and Traffic Prediction using Big Data Analytics.- Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study.- The Impact of antidepressants in Tech Industry by medical history and interpersonal factors : A Systematic Review and Meta Analysis.- Artificial Neural Networks for Enhancing E-commerce: A Study on Improving Personalization, Recommendation and Customer Experience.- New Paradigm of Marketing-Financial Integration Modelling for Business Performance: An IMC Model.- Fusing Management and Deep Learning to Develop Cutting-edge Conversational Agents.- Water Quality Classification Using Machine Learning Techniques.- A Firebase based Smart Home Automation system using IoT.- EnRaFS: An Ensemble Ranking-based Feature Selection Approach for Grading Gallbladder Cancer using Radiomic Analysis.- Unmasking Deep Fakes: Advancements, Challenges, and Ethical Considerations.- Enhancing Healthcare Security using IoT-Enabled with Continuous Authentication Using Deep Learning.- Cross-Project Defect Prediction: Leveraging Knowledge Transfer for Improved Software Quality Assurance.- Multilingual Toxic Comment Classification using Bidirectional LSTM.- An Extensive Approach for Inter-Frames Video Forgery Detection.- Blockchain Empowered IVF: Revolutionizing Efficiency and Trust through Smart Contracts.- An Intelligent Diabetes Predicting Model for Diverse Ethnicities.- Detection of Punjabi Newspaper articles using a Deep-learning Approach.- Performance Measurement and Analysis of Partial Cloud Dependent Application Hosting.- Automatic Disease Detection For Various Plants Leaf Using Image Processing Techniques And Tensor-Flow Algorithm.- Contribution Unveiling Cutting-Edge Machine Learning Techniques for Image Segmentation.- Anticipating Graduate Program Admission Through Implementation of Deep Learning Models.- Ubiquitous Computing: A Comprehensive Review.- Deep Learning Tools for Covid-19 Pneumonia Classification.- Enhanced Change Detection Analysis of Urban Land Use and Land Cover in Vijayawada City: Integrating Artificial Neural Networks and Mahalanobis Distance Classification.- Explainable Machine Learning for Drug Classification.- Deep Learning-based Intrusion Detection System for Internet of Things Networks for Enhancing Security Against Cyber Attacks.