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Artificial Intelligence and Data Science Based R&D Interventions

Proceedings of NERC 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ratnajit Bhattacharjee

    1. Department of Electronics and Electrical Engineering and Head Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, India

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  2. Debanga Raj Neog

    1. Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, India

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  3. Konda Reddy Mopuri

    1. Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, India

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  4. Santosh Kumar Vipparthi

    1. Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, India

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  • Selected peer-reviewed papers presented in NERC 2022
  • Enriches understanding by including contributions from policy makers, industrialist and academicians
  • Showcase the best R&D activities from all the educational and research institutions

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Conference proceedings info: NERC 2022.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-xxviii
    Download chapter PDF

  2. Negation in a Language

    • Tania Sarkar, Apurbalal Senapati
    Pages 1-7

  3. COVID-19 Neologism in the Assamese Language

    • Mridusmita Das, Apurbalal Senapati
    Pages 9-18

  4. A Computational Approach for the Tonal Identification in Bodo Language

    • Mwnthai Narzary, Maharaj Brahma, Sanjib Narzary, Apurbalal Senapati, Pranav Kumar Singh
    Pages 19-32

  5. Real-Time Detection of Natural Scene Assamese Texts Using Deep Learning

    • Monor Enghi, Anjan Kumar Talukdar, Kandarpa Kumar Sarma
    Pages 33-46

  6. Development of Directional Drilling Well Profile Design App Using Python

    • Manna Mukherjee, Prasun Banik
    Pages 47-73

  7. Multi-objective Optimization in NOMA-IoT Networks

    • Sumita Majhi, Pinaki Mitra
    Pages 75-88

  8. Prediction and Forecasting Municipal Solid Waste Generation of Northeastern Cities by Retrofitting ML Models of Guwahati, India

    • Tinka Singh, Ramagopal V. S. Uppaluri
    Pages 89-120

  9. Trajectory Tracking and Control of Unmanned Aerial Vehicle (UAV): A Particle Swarm Optimization-Based Approach

    • Shreyansh Sharma, Abhinav Kumar Singh, Omkar Singh, Anjan Kumar Ray
    Pages 121-137

  10. Prediction of Transient Bed Profiles in an Aggrading Stream Using ANN

    • Arindom Das, Virender Kumar, Soumen Maji
    Pages 139-155

  11. Fuzzy Set-Based Estimation of Closed-Die Forging Load Using the Shop Floor Data

    • Kaustabh Chatterjee, Uday S. Dixit, Jian Zhang
    Pages 157-185

  12. A Survey on Fault Tolerant Control of Unmanned Underwater Vehicles

    • Shivani Raj, Basireddy Sandeep Reddy, Arup Deka
    Pages 187-205
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Keywords

About this book

This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.

Editors and Affiliations

  • Department of Electronics and Electrical Engineering and Head Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, India

    Ratnajit Bhattacharjee

  • Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, India

    Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi

About the editors

Dr. Ratnajit Bhattacharjee joined IIT Guwahati in the year 2002 and currently is a Professor in the Department of Electronics and Electrical Engineering. His research interests include Wireless communication, Wireless networks, Microstrip antennas, Microwave Engineering and Electromagnetics. He has co-authored about one hundred and sixty research papers. Nineteen research students have completed their PhD under his supervision and at present several research scholars are working under his guidance. He has served as a General Chair for 5th edition of IEEE Applied Electromagnetic Conference, AEMC 2015 and 22nd National Conference on Communications, NCC 2016, Chair for the 18th National Power System Conference, NPSC 2014 . He has served as Head, Electronics and Electrical Engineering, IIT Guwahati, from 2011 to 2014. He has delivered invited talks in a number of conferences, symposia and workshops. He has developed a web course on Electromagnetic theory and MOOC video course on Microwave Engineering under NPTEL. He has also been involved with several research projects. He is institute coordinator for the ongoing Virtual Lab project of Ministry of Education and served as the Chief Investigator for Ministry of Electronics and Information Technology (MeitY) sponsored project for setting up of an Electronics & ICT academy at IIT Guwahati. He is a member of the Research Advisory Committee of SAMEER (Society for Applied Microwave Electronics Engineering & Research). He is presently Head for the Mehta Family School of Data Science and Artificial Intelligence, IIT Guwahati and also Head of the Computer Communication Centre, IIT Guwahati. Prior to joining IIT Guwahati, he served as a faculty member in REC (at present NIT) Silchar from 1991 to 2002.



Dr. Bhattacharjee completed his B.E. degree (with First Class Hons.) in Electronics and Telecommunication Engineering from REC (at present NIT) Silchar, the M. Tech. degree in Electronics and Electrical Communication Engineering (Specialization: Microwave Engineering) from IIT Kharagpur and the Ph.D. degree in Engineering from Jadavpur University, Kolkata, India.


Dr. Debanga Raj Neog is an Assistant Professor at Mehta Family School of Data Science and Artificial Intelligence (MFSDS&AI), IIT Guwahati. He obtained his Ph.D. in Computer Science from The University of British Columbia (UBC), Vancouver, Canada in 2018 and his B.Tech. in Electronics and Communication Engineering from IIT Guwahati, India. His research interests span across computer vision, computer graphics, machine learning, and virtual/augmented reality. He is a recipient of the Mitacs Globalink Research Award under which he collaborated with researchers in INRIA Grenoble Rhone-Alpes, France. He joined MFSDS&AI, IIT Guwahati in September 2021.

Dr. Konda Reddy Mopuri is currently an assistant professor at the Department of Artificial Intelligence, IIT Hyderabad. Before this he served onthe faculty of IIT Guwahati and IIT Tirupati. He held a post-doctoral position at the School of Informatics, University of Edinburgh, UK. He received his PhD from Dept. of Computational and Data Sciences, IISc Bengaluru. His thesis won the IUPRAI Best doctoral dissertation award and the SPCOM Best doctoral dissertation award for 2018. He publishes his research in top-tier venues such as ICLR, ICML, CVPR, ECCV, WACV, BMVC, Trans. on PAMI, Tran. on Image processing, and Frontiers in Robotics and AI. His work lies broadly in Deep learning, AI, Computer Vision, Image/Signal processing, Data Science.



Dr. Santosh Kumar Vipparthi, a senior member of IEEE, has 12+ years of experience, including teaching and industry. Currently, he is an Assistant Professor at Indian Institute of Technology Ropar (IIT Ropar), India. Before this, he served at the Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Guwahati (IITGuwahati) and Malaviya National Institute of Technology (MNIT), Jaipur (An Institute of National Importance and one of the top NITs fully funded by the Ministry of Education, Government of India). He received Ph.D. and MTech degrees with Honors in Systems Engineering from the Indian Institute of Technology Varanasi (IIT Varanasi), BHU, India, and a B.E. degree in Electrical and Electronics Engineering from Andhra University, Andhra Pradesh, India. Dr. Vipparthi’s research in the area of computer vision, affective computing, deep learning, etc. 



Bibliographic Information

  • Book Title: Artificial Intelligence and Data Science Based R&D Interventions

  • Book Subtitle: Proceedings of NERC 2022

  • Editors: Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi

  • DOI: https://doi.org/10.1007/978-981-99-2609-1

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-99-2608-4Published: 05 September 2023

  • Softcover ISBN: 978-981-99-2611-4Due: 06 October 2023

  • eBook ISBN: 978-981-99-2609-1Published: 04 September 2023

  • Edition Number: 1

  • Number of Pages: XXVIII, 205

  • Number of Illustrations: 28 b/w illustrations, 85 illustrations in colour

  • Topics: Artificial Intelligence, Data Structures and Information Theory, Natural Language Processing (NLP), Signal, Image and Speech Processing

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