Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

1. Front Matter

   Pages i-xxiv

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2. Detection and Classification of Defects in Ultrasonic Testing Using Deep Learning

   • Pranav Pawar, Rajesh Buktar

   Pages 1-15

3. Prediction of Agriculture Yields Using Machine Learning Algorithms

   • Vinit Kumar Gunjan, Sheo Kumar, Mohd Dilshad Ansari, Yellasiri Vijayalata

   Pages 17-26

4. Credit Card Fraud Detection Using Support Vector Machine

   • Sheo Kumar, Vinit Kumar Gunjan, Mohd Dilshad Ansari, Rashmi Pathak

   Pages 27-37

5. A Novel Python Video Processing Program for Identifying and Quantification of Soil Cracks in Real Time

   • Vaibhav Khandare Dilip, He Huang, Ankit Garg, Xilong Huang, Guoxiong Mei

   Pages 39-46

6. Domestic Smart Fire Fighting Robot with Multisensory Fire Detection and Warning System Using Python IDE

   • Syed Musthak Ahmed, A. Durga Sai Shiva, Vinit Kumar Gunjan

   Pages 47-55

7. Hybrid Decision Support System Framework for Enhancing Crop Productivity Using Machine Learning

   • Meeradevi, I. G. S. Yasaswi, Monica R. Mundada, D. Sarika, Harshita Shetty

   Pages 57-66

8. Adaptive Robust Control Using Extended Kalman Filter for Cancer Treatment Using Optimal Chemotherapy

   • Utkarsha L. Mohite, Hirenkumar G. Patel

   Pages 67-78

9. Stock Market (BSE) Prediction Using Unsupervised Sentiment Analysis and LSTM: A Hybrid Approach

   • Dhruv Devani, Margin Patel

   Pages 79-87

10. Rank Based Skeleton Network Selection for All Optical Network Monitoring

    • Rochak Bajpai, Jyoti Tripathi, S. P. Singh

    Pages 89-96

11. Identification of Implicit Subject Categories Responsible for Academic Test Scores Using Multiple Linear Regression

    • Tiyyagura Jyothsna, Sandeep Reddy Chitreddy

    Pages 97-102

12. Skin Cancer Detection Using Image Processing: A Review

    • Aakash Shetty, Kashish Shah, Mohini Reddy, Rutvik Sanghvi, Siddhesh Save, Yashkumar Patel

    Pages 103-121

13. A Comprehensive Survey on Free Parking Space, Road Signs and Lane Detection

    • Rubal Sharma, Shubhanshu Singh Jagwan, R. Vidhya

    Pages 123-131

14. Emotions During Covid-19: LSTM Models for Emotion Detection in Tweets

    • Nazura Javed, B. L. Muralidhara

    Pages 133-148

15. Glaucoma Detection with Fundus Images Based on NTKFIBC-IS Segmentation

    • P. M. Siva Raja, R. P. Sumithra, K. Ramanan

    Pages 149-155

16. Characteristic Overview of Digital Image Forensics Tools

    • Anjan K. Koundinya, Sunanda Dixit, G. Mahesh, S. Sneha

    Pages 157-162

17. Advances in Experimental Paradigms for EEG-BCI

    • Ravichander Janapati, Vishwas Dalal, Rakesh Sengupta

    Pages 163-170

18. Survey on Edge, Fog Assisted IoT Framework Using Intelligent Learning Techniques

    • Pranay Deepak Saraf, Mahip M. Bartere, Prasad P. Lokulwar

    Pages 171-184

19. Implementation of Network Intrusion Detection System Using Artificial Intelligence: Survey

    • Priya R. Maidamwar, Mahip M. Bartere, Prasad P. Lokulwar

    Pages 185-198

20. A Novel Approach to Improve the Training of Deep Convolutional Networks

    • M. Swathi, K. C. Sreedhar, Meeravali Shaik, V. Prabhakar

    Pages 199-209

This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.

• Machine Learning
• ICMISC 2021
• Internet of Things
• Artificial Intelligence
• Data Science
• Neural Network
• ICMISC Proceedings

• Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

  Vinit Kumar Gunjan

• Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

  Jacek M. Zurada

Vinit Kumar Gunjan is an Associate Professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier and Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE; an active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary and Chairman of IEEE Young Professionals Affinity Group and IEEE Computer Society. Was involved as organizer in many technical and non-technical workshops, seminars and conferences of IEEE and Springer. During the tenure, worked with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.

Dr. Jacek Zurada (SM’85, F’96, LF’14) is Professor of Electrical and Computer Engineering and Director of the Computational Intelligence Laboratory at the University of Louisville, Louisville, Kentucky, USA, where he served as Department Chair and a Distinguished University Scholar. He was Professor at Princeton University, Northeastern University, Auburn University, the National University of Singapore, Nanyang Technological University in Singapore, Chinese University of Hong Kong, the University of Chile, Santiago, Toyohashi University of Technology, Japan, the University of Stellenbosch, South Africa, the University of Marie-Curie, Paris, France, and was Postdoctoral Fellow at the Swiss Federal Institute of Technology, Zurich, Switzerland. His work has 16,000 Google Scholar citations. 

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