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

1. Front Matter

   Pages i-xvii

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2. Automated Identification of Interictal Activity from EEG Signal Using Non-linear Features

   • Arshpreet Kaur, Karan Verma, Amol P. Bhondekar, Kumar Shashvat

   Pages 1-8

3. A Survey on Phishing URL Detection Using Artificial Intelligence

   • Arpita Vadariya, Nilesh Kumar Jadav

   Pages 9-20

4. Prognosticating Liver Debility Using Classification Approaches of Machine Learning

   • Revelly Akshara, Sandhi Kranthi Reddy

   Pages 21-31

5. Robust UI Automation Using Deep Learning and Optical Character Recognition (OCR)

   • Mithilesh Kumar Singh, Warren Mark Fernandes, Mohammad Saad Rashid

   Pages 33-44

6. Load Scheduling with Combinations of Existing Tariff Structure for Residential Consumers in Maharashtra, India—Case Study

   • Archana Talhar, Sanjay Bodkhe

   Pages 45-54

7. Mammogram Classification Using Rotation-Invariant Local Frequency Features

   • Spandana Paramkusham, C. Venkata Narasimhulu

   Pages 55-66

8. Internet of Things (IOT) Architecture—A Review

   • Achinta K. Palit

   Pages 67-72

9. Robust and Lightweight Control System for IoT Networks: Enabling IoT for the Developing World

   • Jithu G. Panicker, Mohamed Azman

   Pages 73-92

10. Real-Time Detection and Prediction of Heart Diseases from ECG Data Using Neural Networks

    • K. V. Sai Kiran, Mohamed Azman, Eslavath Nandu, S. K. L. V. Sai Prakash

    Pages 93-119

11. Gender Classification Based on Fingerprint Database Using Association Rule Mining

    • Ashish Mishra, Shivendu Dubey, Amit Sahu

    Pages 121-133

12. Cyber Terrorism-Related Multimedia Detection Using Deep Learning—A Survey

    • Himani Mandaviya, Snehal Sathwara

    Pages 135-143

13. The Role of Technologies on Banking and Insurance Sectors in the Digitalization and Globalization Era—A Select Study

    • Venkamaraju Chakravaram, Sunitha Ratnakaram, Nitin Simha Vihari, Neelakantam Tatikonda

    Pages 145-156

14. Review of Recent Plagiarism Detection Techniques and Their Performance Comparison

    • Manpreet Kaur, Vishal Gupta, Ravreet Kaur

    Pages 157-170

15. A Combination of 2DLDA and LDA Approach for Fruit-Grade Classification with KSVM

    • Yogeswararao Gurubelli, Malmathanraj Ramanathan, Palanisamy Ponnusamy

    Pages 171-178

16. Facial Expression Extraction and Human Emotion Classification Using Convolutional Neural Network

    • Amruta Khot, Anmol Magdum

    Pages 179-187

17. Exploring Opportunities in Hydro Electric Power Plant with Heron’s Fountain

    • Khude Anupam Tanaji, Patil Manoj Dhondiram

    Pages 189-201

18. A Comprehensive Survey on Application Layer Protocols in the Internet of Things

    • Hemant Sharma, Ankur Gupta, Madhavi Latha Challa

    Pages 203-215

19. Empirical Laws of Natural Language Processing for Hindi Language

    • Arun Babhulgaonkar, Mahesh Shirsath, Atharv Kurdukar, Hrishikesh Khandare, Adwait Tekale, Manali Musale

    Pages 217-223

20. Classification Method to Predict Chances of Students’ Admission in a Particular College

    • Danny Joel Devarapalli

    Pages 225-238

This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.

• Machine Learning
• ICMISC
• Smarty Cities
• Internet of Things
• Artificial Intelligence
• Data Science
• Neural Network
• Pattern Recognition
• Mobile Computing

• 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, USA

  Jacek M. Zurada

Vinit Kumar Gunjan is an Associate Professor of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). He is an active researcher, and has published papers at IEEE, Elsevier & Springer conferences, authored several books, and edited volumes of Springer series, most of which are indexed in the SCOPUS database. In 2016, he received the prestigious Early Career Research Award from the Science Engineering Research Board, Department of Science & Technology, Government of India. He is a senior member of IEEE, and is active in the IEEE Hyderabad section. He is currently the Secretary of the Computational Intelligence Society, and has served as the Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. 

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

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