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  • Conference proceedings
  • © 2022

Recent Advances in Artificial Intelligence and Data Engineering

Select Proceedings of AIDE 2020

Editors:

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  • Presents recent advances in Artificial Intelligence and Data Engineering

  • Covers topics such as deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, etc

  • Presents select proceedings of AIDE 2020

Conference proceedings info: AIDE 2020.

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eBook
USD 269.00
Price excludes VAT (USA)
  • ISBN: 978-981-16-3342-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD 349.99
Price excludes VAT (USA)

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xii
  2. Smart Environment and Network Issues

    1. Front Matter

      Pages 1-1
    2. Machine Learning-Based Ensemble Network Security System

      • Prashanth P. Wagle, Shobha Rani, Suhas B. Kowligi, B. H. Suman, B. Pramodh, Pranaw Kumar et al.
      Pages 3-15
    3. Machine Learning-Based Air Pollution Prediction

      • Sheethal Shivakumar, K. Aditya Shastry, Simranjith Singh, Salman Pasha, B. C. Vinay, V. Sushma
      Pages 17-27
    4. Crop and Fertilizer Recommendation System Based on Soil Classification

      • Pruthviraj, G. C. Akshatha, K. Aditya Shastry, Nagaraj, Nikhil
      Pages 29-40
    5. Human Activity Classification Using Deep Convolutional Neural Network

      • Aniket Verma, Amit Suman, Vidyadevi G. Biradar, S. Brunda
      Pages 41-50
    6. Intelligent IoT-Based Product Dispenser and Billing System

      • Roshan Fernandes, Anisha P. Rodrigues, Anusha Rani, Rachana Pandit, Vijaya Padmanabha, B. A. Mohan
      Pages 51-63
    7. Models Predicting PM 2.5 Concentrations—A Review

      • Anusha Anchan, B. Shabari Shedthi, G. R. Manasa
      Pages 65-83
    8. Performance Analysis of Modified TCP New Reno for MANETs

      • Sharada U. Shenoy, Udaya Kumar K. Shenoy, M. Sharmila Kumari
      Pages 85-96
  3. Smart Health and Pattern Recognition

    1. Front Matter

      Pages 97-97
    2. Identification of Helmets on Motorcyclists and Seatbelt on Four-Wheeler Drivers

      • Divyansh Saini, Vedashree Arundekar, K. V. Priya, Divya Jennifer D’Souza
      Pages 99-107
    3. Speech Emotion Recognition Using K-Nearest Neighbor Classifiers

      • M. Venkata Subbarao, Sudheer Kumar Terlapu, Nandigam Geethika, Kudupudi Durga Harika
      Pages 123-131
    4. Object Detection and Voice Guidance for the Visually Impaired Using a Smart App

      • Ramya Srikanteswara, M. Chandrashekar Reddy, M. Himateja, K. Mahesh Kumar
      Pages 133-144
    5. Application to Aid Hearing and Speech Impaired People

      • Akshatha Patkar, Steve Martis, Anupriya, Rakshith, Deepthi G. Pai
      Pages 145-160
    6. Variants of Fuzzy C-Means on MRI Modality for Cancer Image Archives

      • C. K. Roopa, B. S. Harish, R. Kasturi Rangan
      Pages 161-169
    7. A Review on Effectiveness of AI and ML Techniques for Classification of COVID-19 Medical Images

      • M. J. Dileep Kumar, G. Santhosh, Prabha Niranjajn, G. R. Manasa
      Pages 171-179
    8. Medical Image Encryption Using SCAN Technique and Chaotic Tent Map System

      • Kiran, B. D. Parameshachari, H. T. Panduranga
      Pages 181-193
    9. Brain Tumor Segmentation Using Capsule Neural Network

      • Jyothi Shetty, Shravya Shetty, Vijaya Shetty, Chirag Rai
      Pages 205-212

About this book

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

Keywords

  • Artificial Intelligence
  • Machine Vision & Robotics
  • Ambient Intelligence
  • Data Engineering
  • AIDE 2020

Editors and Affiliations

  • Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka (NITK), Mangalore, India

    Pushparaj Shetty D.

  • Department of MCA, NMAM Institute of Technology, Karkala, India

    Surendra Shetty

About the editors

Dr. Pushparaj Shetty D.  is working as a faculty at National Institute of Technology Karnataka (NITK) Surathkal since 2000. He is presently holding the position of Associate Professor in department of Mathematical and computational sciences at NITK Surathkal. He obtained his B.E in Computer Science and Engineering in 1999 from Mangalore University and M.E in Computer Science and Engineering in 2005 from Indian Institute of Engineering Science and Technology, Shibpur, Kolkata (formerly Bengal Engg. and Science University). He obtained his Ph.D from the Computer Science and Applications group, Department of Mathematics at the Indian Institute of Technology Delhi (July 2014). His research interests are in the area of wireless sensor networks, graph algorithms and their applications in engineering, cloud computing and high performance computing. He has co-authored more than 25 research papers in peer-reviewed journals and conferences including few book chapters. He is a senior member of IEEE, senior member of ACM, and life member of Computer Society of India (CSI) and Institution of Engineers India (IEI). Dr. Pushparaj is volunteering as the Chair of IEEE Mangalore Subsection for the year 2021.

Dr. Surendra Shetty is currently a Professor & Head, Department of Master of Computer Applications, NMAM Institute of Technology, Nitte. He had completed his B.Sc. in 2001 and he obtained his Master of Computer Applications in 2004 from Visvesvaraya Technological University, Belagavi. Dr. Surendra Shetty had been awarded his doctoral degree for his research work “Audio Data Mining Using Machine Learning Techniques” in 2013 from University of Mangalore. He has published more than 30 research papers in different international journals and conferences. He is currently guiding six research scholars. Dr. Surendra Shetty authored two book chapters in different publications entitled “Machine Learning Approach for Carnatic Music Analysis” and “Applications of Unsupervised Techniques for Clustering of Audio Data”.  He has received research grant of 20 lakhs from VGST (GoK) for carrying out research on “Automatic Natural Language Processing and Speech Disorder Problems in Kannada Language”. He has 16 years of teaching experience. His research areas of interest are cryptography, data mining, pattern recognition, speech recognition, MIS, software engineering and testing.

Bibliographic Information

Buying options

eBook
USD 269.00
Price excludes VAT (USA)
  • ISBN: 978-981-16-3342-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD 349.99
Price excludes VAT (USA)