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Advances in Data Science and Artificial Intelligence

ICDSAI 2022, IIT Patna, India, April 23 – 24

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Rajiv Misra

    1. Department of Computer Science & Engineering, Indian Institute of Technology Patna, Patna, India

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  2. Nishtha Kesswani

    1. Department of Computer Science, Central University of Rajasthan, Ajmer, India

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  3. Muttukrishnan Rajarajan

    1. Department of EE Engineering, University of London, London, UK

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  4. Bharadwaj Veeravalli

    1. Department of ECE, National University of Singapore, Singapore, Singapore

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  5. Imene Brigui

    1. EMLYON Business School, Écully, France

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  6. Ashok Patel

    1. Department of Computer Science, Florida Polytechnic University, Lakeland, USA

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  7. T. N. Singh

    1. Director, Indian Institute of Technology Patna, Bihar, India

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  • Introduces topics in data science with applications to artificial intelligence
  • Suitable for beginners and researchers looking to improve their understanding of data science
  • Addresses popular commentary on AI versus human capacity

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 403)

Included in the following conference series:

Conference proceedings info: ICDSAI 2023.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Sky Detection in Outdoor Spaces

    • Dev Kumar Sahoo, Jennifer Lobo, Sanjana Pradhan, Shagufta Rajguru, K. Rakhi
    Pages 1-7

  3. Defining, Measuring, and Utilizing Student’s Learning in a Course

    • Tanmay Garg, Rajat Agarwal, Mukesh Mohania, Vikram Goyal
    Pages 9-20

  4. Holistic Features and Deep-Guided Depth-Induced Mutual-Attention-Based Complex Salient Object Detection

    • Surya Kant Singh, Rajeev Srivastava
    Pages 21-31

  5. Machine Learning Based Decision Support System for Resilient Supplier Selection

    • Saurav Kumar, Anoop Kumar Dixit, Milind Akarte
    Pages 33-43

  6. An Adaptive Task Offloading Framework for Mobile Edge Computing Environment: Towards Achieving Seamless Energy-Efficient Processing

    • Mohammad Ashique E. Rasool, Anoop Kumar Bhola, Asharul Islam, Khalid Mohiuddin
    Pages 45-55

  7. Road Surface Classification and Obstacle Detection for Visually Impaired People

    • Shripad Bhatlawande, Yash Aney, Aatreya Gaikwad, Vedant Anantwar, Swati Shilaskar, Jyoti Madake
    Pages 57-68

  8. A Survey on Semantic Segmentation Models for Underwater Images

    • Sai Krishna Anand, Pranav Vigneshwar Kumar, Rohith Saji, Akhilraj V. Gadagkar, B R Chandavarkar
    Pages 69-86

  9. An Interactive Dashboard for Intrusion Detection in Internet of Things

    • Monika Vishwakarma, Nishtha Kesswani
    Pages 87-98

  10. An Analogous Review of the Challenges and Endeavor in Suspense Story Generation Technique

    • V. Kowsalya, C. Divya
    Pages 99-111

  11. Friend Recommendation System Using Transfer Learning in the Autoencoder

    • Bhargav Rao, Aarti Karande
    Pages 113-127

  12. Analysis on the Efficacy of ANN on Small Imbalanced Datasets

    • Gauri Naik, Deep Siroya, Manav Nisar, Bhavya Shah, Himani Deshpande
    Pages 129-137

  13. Lightweight and Homomorphic Security Protocols for IoT

    • Ishaan Singh, Aakarshee Jain, Ikjot Singh Dhody, B R Chandavarkar
    Pages 139-174

  14. Tool-Based Approach on Digital Vulnerability Management Hub (VMH) by Using TheHive Platform

    • V. Ceronmani Sharmila, M. Arvinth Sitharthaa, Samita Ramesh Babu, M. Shruthi
    Pages 175-189

  15. Performance Analyzer for Blue Chip Companies

    • Ishita Badole, Sakshi Chheda, Ojasa Chitre, Dhananjay Kalbande
    Pages 191-201

  16. Strengthening Deep-Learning-Based Malware Detection Models Against Adversarial Attacks

    • Rohit Pai, Mahipal Purohit, Preetida Vinayakray-Jani
    Pages 203-219

  17. Video-Based Micro Expressions Recognition Using Deep Learning and Transfer Learning

    • Samit Kapadia, Ujjwal Praladhka, Utsav Unadkat, Virang Parekh, Ruhina Karani
    Pages 221-231

  18. Trustworthiness of COVID-19 News and Guidelines

    • Shubhanshu Singh, Lalit Nagar, Anupam Lal, B R Chandavarkar
    Pages 233-246

  19. Detection of Moving Object Using Modified Fuzzy C-Means Clustering from the Complex and Non-stationary Background Scenes

    • Ravindra Sangle, Ashok Kumar Jetawat
    Pages 247-259

  20. Deterrence Pointer for Distributed Denial-of-Service (DDoS) Attack by Utilizing Watchdog Timer and Hybrid Routing Protocol

    • Sandya J. K., Ashwanth S., Aluri Prameela Manyatha, V. Ceronmani Sharmila
    Pages 261-284
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  1. Advances in Data Science and Artificial Intelligence

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About this book

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, coveringthe entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Editors and Affiliations

  • Department of Computer Science & Engineering, Indian Institute of Technology Patna, Patna, India

    Rajiv Misra

  • Department of Computer Science, Central University of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • Department of EE Engineering, University of London, London, UK

    Muttukrishnan Rajarajan

  • Department of ECE, National University of Singapore, Singapore, Singapore

    Bharadwaj Veeravalli

  • EMLYON Business School, Écully, France

    Imene Brigui

  • Department of Computer Science, Florida Polytechnic University, Lakeland, USA

    Ashok Patel

  • Director, Indian Institute of Technology Patna, Bihar, India

    T. N. Singh

About the editors

​Rajiv Misra is an Associate Professor of Computer Science and Engineering at the Indian Institute of Technology Patna, India. His research focuses in distributed systems, cloud computing, big data computing, consensus in blockchain, cloud IoT-edge computing, ad hoc networks, and sensor networks. He has contributed significantly to these research areas of distributed and cloud computing and published more than 80 papers in reputed journals and conferences, with an impact of 999 citations and an h-index of 14. 

Muttukrishnan Rajarajan is currently the Director of the Institute for Cyber Security at City University of London and carries out research in the areas of privacy preserving data management, Internet of Things privacy, network intrusion detection, cloud security and identity management using blockchain. Raj has received funding from EPSRC, Royal Academy of Engineering, European Commission, Innovate UK, British Council and industry tocarry out research in cyber security. He has supervised several PhDs jointly with British Telecommunications, UK in the area if data analytics for cyber security and network intrusion detection. 


Bharadwaj Veeravalli is currently with the Department of Electrical and Computer Engineering, Communications and Information Engineering (CIE) division, at The National University of Singapore, Singapore. His main stream research interests include cloud/grid/cluster computing(big data processing, analytics and resource allocation), scheduling in parallel and distributed systems, Cybersecurity, and multimedia computing. He is one of the earliest researchers in the field of Divisible Load Theory (DLT). He did PhD degree from the Indian Institute of Science, Bangalore, India. He received gold medals for his bachelor degree overall performance and for an outstanding PhD thesis (IISc, Bangalore India) in the years 1987 and 1994, respectively.


Nishtha Kesswani has received prestigious awards, including the UGC Raman Postdoctoral Fellowship tenable in USA and the Young Teacher Award. She received the M.Tech. degree from the Malaviya National Institute of Technology (MNIT). She has a vivid teaching experience at several reputed universities, including California State University at San Bernardino and the University of Ljubljana, Slovenia. She has visited more than 15 countries and delivered invited talks at several conferences and workshops. She is currently with the Central University of Rajasthan, India.


Ashok Patel has been a faculty member in the Department of Computer Science of Florida Polytechnic University, USA. He primarily teaches cybersecurity courses and is researching an improved efficient fingerprint recognition algorithm and web usage mining. He's particularly interested in personalizing the web experience for users and individuals using IOT. He has nearly 30years of teaching experience. Before immigrating to the United States, he was a professor in the Department of Computer Science of North Gujarat University in India.


Imene Brigui holds a Ph. D. in Computer Science from the University of Paris-Dauphine. She is a specialist in Artificial Intelligence and more particularly in Multi-Agent Systems. She is particularly interested in the Design of Intelligent Systems for the automation of decision-making through preference learning and conflict management. The main areas of application of her research are E-commerce, Knowledge Management and Digital Learning. 


TN Singh is an alumnus of Banaras Hindu University (BHU) and has taught at the Department of Earth Sciences at the IIT Bombay. He received National Mineral Award in the year 2006 for his work. His research interest include Natural and Engineered Slope Stability, Rock – Blasting, Rock Mechanics, Engineering Geology, Waste Dump and Rock Environment, Ground Control and CO2 Sequestration.

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