Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

MARC 2023, Volume 2
2024
ISBN: 978-981-97-5230-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1232, 404 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 861 g

Reihe: Lecture Notes in Electrical Engineering

This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2023), held in Glocal University, Saharanpur, Uttar Pradesh, India, during 28–29 November 2023. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

Zielgruppe

Research

Autoren/Hrsg.

Tomar, Anuradha

Mishra, Sukumar

Sood, Y. R.

Kumar, Pramod

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Detecting Alternaria Solani in Tomatoes: Identification with VGG-19 Deep Learning for Early Detection.- Image Encryption Technique using S-box and Discrete Cosine Transform.- Enhancing Power Quality in Grid-Tied Solar Photovoltaic Systems.- RF-TSVM: Random Forest based Transductive Support Vector Machine for Classification and Prediction of Cancer Patterns.- Resource-Efficient Image Retrieval: A Study of Local Patterns vs. Deep Learning Models.- Machine Translation of Chinese Hindi Simple Sentences using Moses.- Innovative Approaches to Reduce Carbon Footprint and Air Pollution: The Role of AI, ML, Cloud Computing, and IoT.- Investigating Sensor Technology and benefits of Intelligent Transport Systems.- Student Attendance System using QR code Analysis of Brain tumor detection using Machine Learning.- A Review on Multiple Face Detection Techniques and Challenges.- Blockchain-Enabled Secure Identity Verification in Agri-food Supply Chain.- Machine Learning Approach for Diagnosis of Schizophrenia using EEG Signals.- Comparative Analysis Of Web Apis:Restful And Graphql.- Ai-Based Vision Screening Tool For Keratoconus.

Über Autor(innen)

Dr. Anuradha Tomaris currently working as Assistant Professor in the Instrumentation & Control Engineering Department of Netaji Subhas University of Technology, Delhi, India. Dr. Tomar has completed her Postdoctoral research from Eindhoven University of Technology (TU/e), the Netherlands. She received her B.E. degree in Electronics Instrumentation & Control with Honors from the University of Rajasthan and M.Tech. degree with Honors in Power Systems from the National Institute of Technology Hamirpur, India. She received her Ph.D. in Electrical Engineering, from the Indian Institute of Technology Delhi (IITD), India. 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 the Operation & Control of Microgrids, Photovoltaics, Renewable Energy-based Rural Electrification, Congestion Management in LV Distribution Systems, Artificial Intelligent & Machine Learning Applications in Power Systems, Energy conservation, and Automation.

Dr. Sukumar Mishrareceived his M.Tech. and Ph.D. in Electrical Engineering from National Institute of Technology, Rourkela, in 1992 and 2000 respectively. Presently, Dr. Mishra is serving as a Director, Indian Institute of Technology (Indian School of Mines), Dhanbad, India. Prof. Mishra has won many accolades such as Young Scientist award (1999) by Orissa Bigyan Academy, INSA medal for young scientist (2002), INAE young engineer award (2002), INAE silver jubilee young engineer award (2012), Samanta Chandra Shekhar award (2016), Bimal Bose award (2019), NASI-Reliance Platinum Jubilee award (2019), National Mission Innovation Championship award (2019), and INAE Outstanding Teachers award (2021). He has been granted fellowship from academies NASI (India) and INAE (India) and professional societies like IET (UK), IETE (India), and IE (India). He is Founder of SILOV SOLUTIONS PRIVATE LIMITED under the Companies Act, 2013. Prof. Mishra’s research expertise lies in the field of Power Systems, Power Quality Studies, Renewable Energy, and Smart Grid.

Dr. Yog Raj Sood is currently working as Professor (HAG) with the Department of Electrical Engineering, at National Institute of Technology, Hamirpur, H.P., India. He has also served as Director of NIT Puducherry, India. Dr. Yog Raj Sood has authored and co-authored several national and international publications and also works as Reviewer for reputed professional journals. Dr. Yog Raj Sood is having an active association with different societies and academies around the world. Dr. Yog Raj Sood made his mark in the scientific community with contributions and wide recognition from honorable subject experts around the world. Dr. Yog Raj Sood has received several awards for his contributions to the scientific community. Dr. Yog Raj Sood's major research interest involves Deregulated Power Sector, Congestion Management, and Microgrid.

Prof (Dr.) Pramod Kumar is accomplished Academic Leader with over 24 years of experience in the field. He currently serves as Dean of Academics at Glocal University in Saharanpur, UP, where he has been since September 2022. Prior to this, he held the position of Dean of Computer Science and Engineering at Krishna Engineering College in Ghaziabad and served as Director of Tula's Institute in Dehradun, Uttarakhand. Prof. Pramod Kumar holds a Ph.D. in Computer Science and Engineering, which he earned in 2011, as well as an M.Tech. in CSE from 2006. He is Senior Member of IEEE and Ex-Joint Secretary of the IEEE U.P. section. Through his research, he has made significant contributions to the fields of Computer Networks, IoT, and Machine Learning. He is Author or Co-author of more than 70 research papers and has edited four books. He has also supervised and co-supervised several M.Tech. and Ph.D. students.