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Advanced Computing, Machine Learning, Robotics and Internet Technologies

First International Conference, AMRIT 2023, Silchar, India, March 10–11, 2023, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2024

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Editors:
  1. Prodipto Das

    1. Assam University, Silchar, India

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  2. Shahin Ara Begum

    1. Assam University, Silchar, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Rajkumar Buyya

    1. The University of Melbourne, Melbourne, Australia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1954)

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Conference proceedings info: AMRIT 2023.

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About this book

This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023.

The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.

Keywords

Table of contents (23 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Comparative Analysis of Different Machine Learning Based Techniques for Crop Recommendation

    • Rohit Kumar Kasera, Deepak Yadav, Vineet Kumar, Aman Chaudhary, Tapodhir Acharjee
    Pages 1-13

  3. Arduino Based Multipurpose Solar Powered Agricultural Robot Capable of Ploughing, Seeding, and Monitoring Plant Health

    • Hrituparna Paul, Anubhav Pandey, Saurabh Pandey
    Pages 14-24

  4. Galactic Simulation: Visual Perception of Anisotropic Dark Matter

    • Anand Kushwah, Tushar Rajora, Divyansh Singh, Satwik Pandey, Eva Kaushik
    Pages 25-36

  5. Protocol Anomaly Detection in IIoT

    • S. S. Prasanna, G. S. R. Emil Selvan, M. P. Ramkumar
    Pages 37-46

  6. Agricultural Informatics & ICT: The Foundation, Issues, Challenges and Possible Solutions—A Policy Work

    • P. K. Paul, Mustafa Kayyali, Ricardo Saavedra
    Pages 47-60

  7. A Guava Leaf Disease Identification Application

    • Nikhil James, Kunal Kumar Shriwastav, Shilpita Medhi, Smriti Priya Medhi
    Pages 61-69

  8. Text to Image Generation Using Attentional Generative Adversarial Network

    • Supriya B. Rao, Shailesh S. Shetty, Chandra Singh, Srinivas P. M, Anush Bekal
    Pages 70-82

  9. Attention-CoviNet: A Deep-Learning Approach to Classify Covid-19 Using Chest X-Rays

    • Thejas Karkera, Chandra Singh, Anush Bekal, Shailesh Shetty, P. Prajwal
    Pages 83-99

  10. A Deep Learning Framework for Violence Detection in Videos Using Transfer Learning

    • Gurmeet Kaur, Sarbjeet Singh
    Pages 100-111

  11. Multi-focus Image Fusion Methods: A Review

    • Ravpreet Kaur, Sarbjeet Singh
    Pages 112-125

  12. Cache Memory and On-Chip Cache Architecture: A Survey

    • Nurulla Mansur Barbhuiya, Purnendu Das, Bishwa Ranjan Roy
    Pages 126-138

  13. Authenticating Smartphone Users Continuously Even if the Smartphone is in the User’s Pocket

    • Sandip Dutta, Soumen Roy, Utpal Roy
    Pages 139-146

  14. Comparative Analysis of Machine Learning Algorithms for COVID-19 Detection and Prediction

    • Shiva Sai Pavan Inja, Koppala Somendra Sahil, Shanmuk Srinivas Amiripalli, Viswa Ajay Reddy, Surya Rongala
    Pages 147-156

  15. Machine Learning Classifiers Explanations with Prototype Counterfactual

    • Ankur Kumar, Shivam Dwivedi, Aditya Mehta, Varun Malhotra
    Pages 157-169

  16. A Systematic Study of Super-Resolution Generative Adversarial Networks: Review

    • Ravindra Singh Kushwaha, Rajan Kakkar
    Pages 170-186

  17. Stance Detection in Manipuri Editorial Article Using CRF

    • Pebam Binodini, Kishorjit Nongmeikapam, Sunita Sarkar
    Pages 187-197

  18. Deep Learning Based Software Vulnerability Detection in Code Snippets and Tag Questions Using Convolutional Neural Networks

    • Anurag Khanra, Arvind Krishna, L. H. Jeevan Samrudh, Rahul D. Makhija, V. R. Badri Prasad
    Pages 198-208

  19. A Comprehensive Study of the Performances of Imbalanced Data Learning Methods with Different Optimization Techniques

    • Debashis Roy, Utathya Aich, Anandarup Roy, Utpal Roy
    Pages 209-228

  20. Smart Parking System Using Arduino and IR Sensor

    • R. Chawngsangpuii, Angelina Lalruatfeli
    Pages 229-235
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Other volumes

  1. Advanced Computing, Machine Learning, Robotics and Internet Technologies

  2. Advanced Computing, Machine Learning, Robotics and Internet Technologies

Editors and Affiliations

  • Assam University, Silchar, India

    Prodipto Das, Shahin Ara Begum

  • The University of Melbourne, Melbourne, Australia

    Rajkumar Buyya

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