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  • Conference proceedings
  • © 2021

Advances in Artificial Intelligence and Data Engineering

Select Proceedings of AIDE 2019

Editors:

(view affiliations)
  • Covers various aspects of theoretical and applied research in AI and data mining

  • Includes contributions by experts from diverse fields on innovative applications of AI

  • Presents selected papers from the International Conference AIDE 2019

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1133)

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eBook
USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-15-3514-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 279.99
Price excludes VAT (USA)
Hardcover Book
USD 279.99
Price excludes VAT (USA)

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Table of contents (110 papers)

  1. Front Matter

    Pages i-xl
  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
    2. NLP-Driven Ensemble-Based Automatic Subtitle Generation and Semantic Video Summarization Technique

      • V. B. Aswin, Mohammed Javed, Parag Parihar, K. Aswanth, C. R. Druval, Anupam Dagar et al.
      Pages 3-13
    3. Classification of Road Accidents Using SVM and KNN

      • P. Joyce Beryl Princess, Salaja Silas, Elijah Blessing Rajsingh
      Pages 27-41
    4. A Deep Convolutional Encoder-Decoder Architecture Approach for Sheep Weight Estimation

      • Nirav Alpesh Shah, Jaydeep Thik, Chintan Bhatt, Aboul-Ella Hassanien
      Pages 43-53
    5. A Two-Level Approach to Color Space-Based Image Segmentation Using Genetic Algorithm and Feed-Forward Neural Network

      • B. S. Sathish, P. Ganesan, L. M. I. Leo Joseph, K. Palani, R. Murugesan
      Pages 67-78
    6. Braille Cell Segmentation and Removal of Unwanted Dots Using Canny Edge Detector

      • Vishwanath Venkatesh Murthy, M. Hanumanthappa, S. Vijayanand
      Pages 79-87
    7. Real-Time Detection of Distracted Drivers Using a Deep Neural Network and Multi-threading

      • Ajay Narayanan, V. Aiswaryaa, Aswesh T. Anand, Nalinadevi Kadiresan
      Pages 89-100
    8. Segmentation and Detection of Glioma Using Deep Learning

      • Navneeth Krishna, Mahammad Rumaan Khalander, Nandan Shetty, S. N. Bharath Bhushan
      Pages 109-120
    9. Exploring the Performance of EEG Signal Classifiers for Alcoholism

      • Nishitha Lakshmi, Rani Adhaduk, Nidarsh Nithyananda, S. Rashwin Nonda, K. Pushpalatha
      Pages 133-148
    10. Type-2 Tetradecagonal Fuzzy Number

      • A. Rajkumar, C. Sagaya Nathan Stalin
      Pages 149-157
    11. Critical Path Problem Through Intuitionistic Triskaidecagonal Fuzzy Number Using Two Different Algorithms

      • N. Jose Parvin Praveena, C. Sagaya Nathan Stalin, A. Rajkumar
      Pages 159-167
    12. Genetic-Neuro-Fuzzy Controller for Indirect Vector-Controlled Induction Motor Drive

      • B. T. Venu Gopal, H. R. Ramesh, E. G. Shivakumar
      Pages 169-178
    13. Artificial Intelligence-Based Chatbot Framework with Authentication, Authorization, and Payment Features

      • Deena Deepika Cutinha, Niranjan N. Chiplunkar, Shazad Maved, Arun Bhat
      Pages 179-187
    14. Disease Recognition in Sugarcane Crop Using Deep Learning

      • Hashmat Shadab Malik, Mahavir Dwivedi, S. N. Omkar, Tahir Javed, Abdul Bakey, Mohammad Raqib Pala et al.
      Pages 189-206
    15. Deep Learning-Based Car Damage Classification and Detection

      • Mahavir Dwivedi, Hashmat Shadab Malik, S. N. Omkar, Edgar Bosco Monis, Bharat Khanna, Satya Ranjan Samal et al.
      Pages 207-221

About this book

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Keywords

  • Computational Intelligence
  • Intelligent Systems
  • Cognitive Systems
  • Neural Networks
  • Robotics
  • Machine Learning
  • Cloud Computing
  • Internet of Things
  • Natural Language Processing
  • Big data Challenges
  • Data Mining and Knowledge Discovery
  • AIDE 2019

Editors and Affiliations

  • NMAM Institute of Technology, Udupi, India

    Niranjan N. Chiplunkar

  • Ritsumeikan University, Shiga, Japan

    Takanori Fukao

About the editors

Dr. Niranjan N. Chiplunkar is currently a Professor at the Department of Computer Science & Engineering and Principal of NMAM Institute of Technology, Nitte, Udupi, India. With more than 32 years of teaching experience, he has written one textbook on “VLSI CAD” published by PHI Learning, in 2011 and has edited two international and one national-level conference proceedings volume. He was selected for the “Bharatiya Vidya Bhavan National Award for Best Engineering College Principal” for the year 2014 by the ISTE New Delhi and for the “Excellent Achievement Award” by the Centre for International Cooperation on Computerization, Government of Japan, in 2002. Prof. Chiplunkar’s major interests include CAD for VLSI, wireless sensor networks, and multicore architecture and programming. He is a Fellow of the Institution of Engineers (India), Senior Member of the IEEE, and a member of several other professional bodies, e.g. the Computer Society of India, ISSS, and ISTE. He has successfully completed two funded research projects—one from the AICTE, New Delhi, and another from the DST, Government of India, on “Network on Chip Architecture Design” and “Multicore Software Framework Development,” respectively.

Dr. Takanori Fukao is currently a Professor at the Department of Electrical and Electronics Engineering, College of Science and Engineering, Ritsumeikan University, Japan. His primary research interests include perceptual information processing, intelligent robotics, automated driving, platooning, parking of automobiles, flight control for blimp robots and drones, automated driving of agricultural vehicles, active control including active suspension systems, and 3D model generation using motion stereo or stereo cameras. He heads the research laboratory Intelligent Vehicle Systems. He has published 47 research papers in reputed international journals, and three books with leading publishers. He has received several awards for his research and teaching achievements. Currently, he is an editor of IEEE Transactions on Intelligent Vehicles.

Bibliographic Information

Buying options

eBook
USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-15-3514-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 279.99
Price excludes VAT (USA)
Hardcover Book
USD 279.99
Price excludes VAT (USA)