Advertisement

Computational Vision and Bio-Inspired Computing

ICCVBIC 2019

  • S. Smys
  • João Manuel R. S. Tavares
  • Valentina Emilia Balas
  • Abdullah M. Iliyasu
Conference proceedings ICCVBIC 2019

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

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Jesús Silva, Darwin Solano, Claudia Fernández, Ligia Romero, Omar Bonerge Pineda Lezama
    Pages 1-7
  3. Munindra Kakati, Parismita Sarma
    Pages 8-18
  4. N. D. Vindya, H. K. Vedamurthy
    Pages 19-25
  5. Subash Chandra Bose, Murugesh Veerasamy, Azath Mubarakali, Ninoslav Marina, Elena Hadzieva
    Pages 26-39
  6. E. Ramanujam, T. Chandrakumar, K. Nandhana, N. T. Laaxmi
    Pages 40-47
  7. Jesús Silva, Noel Varela, Omar Bonerge Pineda Lezama
    Pages 48-55
  8. B. S. Priyangha, B. Thiyaneswaran, N. S. Yoganathan
    Pages 56-61
  9. N. Saranya, K. Srinivasan, S. K. Pravin Kumar, V. Rukkumani, R. Ramya
    Pages 79-89
  10. Oscar Iván Torralba Quitian, Jenny Paola Lis-Gutiérrez, Amelec Viloria
    Pages 90-97
  11. Pranoti S. Shete, Anita Thengade
    Pages 120-130
  12. Carmen Luisa Vásquez, Marisabel Luna-Cardozo, Maritza Torres-Samuel, Nunziatina Bucci, Amelec Viloria Silva
    Pages 140-147
  13. Shreyank Prabhu, Vishal Khopkar, Swapnil Nivendkar, Omkar Satpute, Varshapriya Jyotinagar
    Pages 161-170
  14. T. J. Osheen, Linda Sara Mathew
    Pages 171-178
  15. S. Aswin, Ayush Ranjan, K. V. Mahendra Prashanth
    Pages 179-186
  16. Amelec Viloria, Noel Varela, Doyreg Maldonado Pérez, Omar Bonerge Pineda Lezama
    Pages 187-192
  17. Sayali M. Dhongade, Nilima R. Kolhare, Rajendra P. Chaudhari
    Pages 193-203
  18. S. V. Lokesh, B. Karthikeyan, R. Kumar, S. Suresh
    Pages 204-212
  19. Amit Thakur, Abhishek Prakash, Akshay Kumar Mishra, Adarsh Goldar, Ayush Sonkar
    Pages 213-218
  20. M. V. Anitha, Linda Sara Mathew
    Pages 219-225
  21. Jesús Silva, Mercedes Gaitán, Noel Varela, Omar Bonerge Pineda Lezama
    Pages 226-232
  22. N. Vignesh, D. C. Vinutha
    Pages 233-239
  23. S. Srividhya, S. Prakash, K. Elangovan
    Pages 247-256
  24. J. Pamina, J. Beschi Raja, S. Sam Peter, S. Soundarya, S. Sathya Bama, M. S. Sruthi
    Pages 257-267
  25. Jesús Silva, Mercedes Gaitán, Noel Varela, Doyreg Maldonado Pérez, Omar Bonerge Pineda Lezama
    Pages 268-274
  26. V. B. Suneeta, P. Purushottam, K. Prashantkumar, S. Sachin, M. Supreet
    Pages 275-285
  27. Mahadevan Narayanan, Apurva Mhatre, Ajun Nair, Akilesh Panicker, Ashutosh Dhondkar
    Pages 294-303
  28. H. Parikshith, S. M. Naga Rajath, S. P. Pavan Kumar
    Pages 304-311
  29. Sudarshana Tamuly, C. Jyotsna, J. Amudha
    Pages 312-320
  30. Sonal Suhas Shinde, Swati S. Kamthekar
    Pages 338-344
  31. Katamneni Vinaya Sree, G. Jeyakumar
    Pages 355-363
  32. S. Apoorva, K. Aditya S, P. Snigdha, P. Darshini, H. A. Sanjay
    Pages 364-370
  33. B. N. Deepankan, Ritu Agarwal
    Pages 384-394
  34. P. C. Nikkil Kumar, P. Malathi
    Pages 395-401
  35. R. Revathy, S. Venkata Achyuth Kumar, V. Vijay Bhaskar Reddy, V. Bhavana
    Pages 402-412
  36. R. Vimal Kurup, M. A. Anupama, R. Vinayakumar, V. Sowmya, K. P. Soman
    Pages 413-421
  37. G. Durga Lakshmi, K. Raghesh Krishnan
    Pages 431-441

About these proceedings

Introduction

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. 

Keywords

Bioinformatics Evolutionary Computing Capsule Networks Ambient Intelligence Computational Neuro Science Image Processing ICCVBIC 2019 ICCVBIC

Editors and affiliations

  1. 1.Department of CSERVS Technical CampusCoimbatoreIndia
  2. 2.Faculty of EngineeringFaculdade de Engenharia da Universidade do PortoPortoPortugal
  3. 3.Faculty of EngineeringAurel Vlaicu University of AradAradRomania
  4. 4.School of ComputingTokyo Institute of TechnologyTokyoJapan

Bibliographic information

Industry Sectors
Pharma
Materials & Steel
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering