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Computational Vision and Bio-Inspired Computing

ICCVBIC 2019

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. S. Smys

    1. Department of CSE, RVS Technical Campus, Coimbatore, India

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  2. João Manuel R. S. Tavares

    1. Faculty of Engineering, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

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  3. Valentina Emilia Balas

    1. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

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  4. Abdullah M. Iliyasu

    1. School of Computing, Tokyo Institute of Technology, Tokyo, Japan

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  • Presents innovations in bio-inspired computing applications
  • Includes the proceedings of the International Conference on Computational Vision and Bio Inspired Computing, held in Coimbatore, India, on September 25–26, 2019
  • Describes new algorithms and research findings

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1108)

Included in the following conference series:

Conference proceedings info: ICCVBIC 2019.

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Table of contents (147 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Psychosocial Analysis of Policy Confidence Through Multifactorial Statistics

    • Jesús Silva, Darwin Solano, Claudia Fernández, Ligia Romero, Omar Bonerge Pineda Lezama
    Pages 1-7

  3. Human Pose Detection: A Machine Learning Approach

    • Munindra Kakati, Parismita Sarma
    Pages 8-18

  4. Machine Learning Algorithm in Smart Farming for Crop Identification

    • N. D. Vindya, H. K. Vedamurthy
    Pages 19-25

  5. Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammograms to Detect Microcalcifications

    • Subash Chandra Bose, Murugesh Veerasamy, Azath Mubarakali, Ninoslav Marina, Elena Hadzieva
    Pages 26-39

  6. Prediction of Fetal Distress Using Linear and Non-linear Features of CTG Signals

    • E. Ramanujam, T. Chandrakumar, K. Nandhana, N. T. Laaxmi
    Pages 40-47

  7. Optimizing Street Mobility Through a NetLogo Simulation Environment

    • Jesús Silva, Noel Varela, Omar Bonerge Pineda Lezama
    Pages 48-55

  8. Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision

    • B. S. Priyangha, B. Thiyaneswaran, N. S. Yoganathan
    Pages 56-61

  9. Stratified Meta Structure Based Similarity Measure in Heterogeneous Information Networks for Medical Diagnosis

    • Ganga Gireesan, Linda Sara Mathew
    Pages 62-70

  10. An Effective Imputation Model for Vehicle Traffic Data Using Stacked Denoise Autoencoder

    • S. Narmadha, V. Vijayakumar
    Pages 71-78

  11. Fruit Classification Using Traditional Machine Learning and Deep Learning Approach

    • N. Saranya, K. Srinivasan, S. K. Pravin Kumar, V. Rukkumani, R. Ramya
    Pages 79-89

  12. Supervised and Unsupervised Learning Applied to Crowdfunding

    • Oscar Iván Torralba Quitian, Jenny Paola Lis-Gutiérrez, Amelec Viloria
    Pages 90-97

  13. Contextual Multi-scale Region Convolutional 3D Network for Anomalous Activity Detection in Videos

    • M. Santhi, Leya Elizabeth Sunny
    Pages 98-108

  14. Noise Removal in Breast Cancer Using Hybrid De-noising Filter for Mammogram Images

    • D. Devakumari, V. Punithavathi
    Pages 109-119

  15. Personality Trait with E-Graphologist

    • Pranoti S. Shete, Anita Thengade
    Pages 120-130

  16. WOAMSA: Whale Optimization Algorithm for Multiple Sequence Alignment of Protein Sequence

    • Manish Kumar, Ranjeet Kumar, R. Nidhya
    Pages 131-139

  17. Website Information Architecture of Latin American Universities in the Rankings

    • Carmen Luisa Vásquez, Marisabel Luna-Cardozo, Maritza Torres-Samuel, Nunziatina Bucci, Amelec Viloria Silva
    Pages 140-147

  18. Classification of Hybrid Multiscaled Remote Sensing Scene Using Pretrained Convolutional Neural Networks

    • Sujata Alegavi, Raghvendra Sedamkar
    Pages 148-160

  19. Object Detection and Classification Using GPU Acceleration

    • Shreyank Prabhu, Vishal Khopkar, Swapnil Nivendkar, Omkar Satpute, Varshapriya Jyotinagar
    Pages 161-170

  20. Cross Modal Retrieval for Different Modalities in Multimedia

    • T. J. Osheen, Linda Sara Mathew
    Pages 171-178
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  1. Computational Vision and Bio-Inspired Computing

Keywords

About this book

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models.

The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications. 

Editors and Affiliations

  • Department of CSE, RVS Technical Campus, Coimbatore, India

    S. Smys

  • Faculty of Engineering, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  • Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  • School of Computing, Tokyo Institute of Technology, Tokyo, Japan

    Abdullah M. Iliyasu

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