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Intelligent Data Engineering and Analytics

Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Suresh Chandra Satapathy

    1. School of Computer Engineering, Kalinga Institute Industrial Technology, Bhubaneswar, India

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  2. Yu-Dong Zhang

    1. Department of Informatics, University of Leicester, Leicester, UK

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  3. Vikrant Bhateja

    1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, India

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  4. Ritanjali Majhi

    1. School of Management, National Institute of Technology Karnataka, Surathkal, India

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  • Highlights the latest research in the field of intelligent computing
  • Gathers the outcomes of FICTA 2020, held at NIT Surathkal, India
  • Offers a valuable resource for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1177)

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Table of contents (72 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Classification of Dry/Wet Snow Using Sentinel-2 High Spatial Resolution Optical Data

    • V. Nagajothi, M. Geetha Priya, Parmanand Sharma, D. Krishnaveni
    Pages 1-9

  3. Potential of Robust Face Recognition from Real-Time CCTV Video Stream for Biometric Attendance Using Convolutional Neural Network

    • Suresh Limkar, Shashank Hunashimarad, Prajwal Chinchmalatpure, Ankit Baj, Rupali Patil
    Pages 11-20

  4. ATM Theft Investigation Using Convolutional Neural Network

    • Y. C. Satish, Bhawana Rudra
    Pages 21-29

  5. Classification and Prediction of Rice Crop Diseases Using CNN and PNN

    • Suresh Limkar, Sneha Kulkarni, Prajwal Chinchmalatpure, Divya Sharma, Mithila Desai, Shivani Angadi et al.
    Pages 31-40

  6. SAGRU: A Stacked Autoencoder-Based Gated Recurrent Unit Approach to Intrusion Detection

    • N. G. Bhuvaneswari Amma, S. Selvakumar, R. Leela Velusamy
    Pages 41-50

  7. Comparison of KNN and SVM Algorithms to Detect Clinical Mastitis in Cows Using Internet of Animal Health Things

    • K. Ankitha, D. H. Manjaiah
    Pages 51-60

  8. Two-Way Face Scrutinizing System for Elimination of Proxy Attendances Using Deep Learning

    • Arvind Rathore, Ninad Patil, Shreyash Bobade, Shilpa P. Metkar
    Pages 61-68

  9. Ontology-Driven Sentiment Analysis in Indian Healthcare Sector

    • Abhilasha Sharma, Anmol Chandra Singh, Harsh Pandey, Milind Srivastava
    Pages 69-85

  10. Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems

    • Sohom Dey, Mahendra Kumar Gourisaria, Siddharth Swarup Rautray, Manjusha Pandey
    Pages 87-95

  11. Transitional and Parallel Approach of PSO and SGO for Solving Optimization Problems

    • Cherie Vartika Stephen, Snigdha Mukherjee, Suresh Chandra Satapathy
    Pages 97-108

  12. Remote Sensing-Based Crop Identification Using Deep Learning

    • E. Thangadeepiga, R. A. Alagu Raja
    Pages 109-122

  13. Three-Level Hierarchical Classification Scheme: Its Application to Fractal Image Compression Technique

    • Utpal Nandi, Biswajit Laya, Anudyuti Ghorai, Moirangthem Marjit Singh
    Pages 123-132

  14. Prediction of POS Tagging for Unknown Words for Specific Hindi and Marathi Language

    • Kirti Chiplunkar, Meghna Kharche, Tejaswini Chaudhari, Saurabh Shaligram, Suresh Limkar
    Pages 133-143

  15. Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems

    • Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni
    Pages 145-153

  16. Sentiment Analysis on Movie Review Using Deep Learning RNN Method

    • Priya Patel, Devkishan Patel, Chandani Naik
    Pages 155-163

  17. Super Sort Algorithm Using MPI and CUDA

    • Anaghashree, Sushmita Delcy Pereira, Rao B. Ashwath, Shwetha Rai, N. Gopalakrishna Kini
    Pages 165-170

  18. Significance of Network Properties of Function Words in Author Attribution

    • Sariga Raj, B. Kannan, V. P. Jagathy Raj
    Pages 171-181

  19. Performance Analysis of Periodic Defected Ground Structure for CPW-Fed Microstrip Antenna

    • Rajshri C. Mahajan, Vibha Vyas, Abdulhafiz Tamboli
    Pages 183-193

  20. Energy Aware Task Consolidation in Fog Computing Environment

    • Satyabrata Rout, Sudhansu Shekhar Patra, Jnyana Ranjan Mohanty, Rabindra K. Barik, Rakesh K. Lenka
    Pages 195-205
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Keywords

About this book

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines. 

Editors and Affiliations

  • School of Computer Engineering, Kalinga Institute Industrial Technology, Bhubaneswar, India

    Suresh Chandra Satapathy

  • Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  • Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, India

    Vikrant Bhateja

  • School of Management, National Institute of Technology Karnataka, Surathkal, India

    Ritanjali Majhi

About the editors

Suresh Chandra Satapathy is a  Professor , School of Computer Engg, KIIT Deemed to be University, Bhubaneswar, India.  His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 140 publications to his credit in various reputed international journals and conference Proceedings. He has edited many volumes from Springer AISC, LNEE, SIST etc.  He is a senior member of IEEE and Life Member of Computer society of India.



Prof. (Dr.) Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, in 2010. From 2010 to 2013, he worked as post-doc and then as a research scientist at Columbia University, USA. He served as Professor at Nanjing Normal University from 2013 to 2017, and is currently a Full Professor at the University of Leicester, UK. His research interests include deep learning in communication and signal processing, and medical image processing.
Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow .  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 150 quality publications in various international journals and conference proceedings. He has edited more than 25 volumes of conference proceedings with Springer Nature (AISC, SIST, LNEE, LNNS Series). He is associate editor of IJSE and IJRSDA.and presently EiC of IJNCR journal under IGI Global.

Dr. Ritanjali Majhi is an Associate Professor at the School of Management, National Institute of Technology Karnataka, Surathkal, India. She is an expert on green marketing, big data analysis, consumer decision-making, time series prediction, AI applications in management (marketing effectiveness) and marketing analytics. She has more than 15 years of research experience, including in projects funded by the Indian government. She has published about 100 research papers in various peer-reviewed international journals and at conferences.



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