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

ICMISC 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Vinit Kumar Gunjan

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

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    You can also search for this editor in PubMed   Google Scholar

  2. Jacek M. Zurada

    1. Department of Electrical and Computer Engineering, University of Louisville, Louisville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents research in various fields of artificial intelligence and cyber-physical systems
  • Features the outcomes of ICMISC 2020, held at CMR Institute of Technology, Hyderabad, Telangana, India
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1245)

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Table of contents (95 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  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
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Keywords

About this book

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.

Editors and Affiliations

  • 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

About the editors

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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