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Innovations in Computational Intelligence

Best Selected Papers of the Third International Conference on REDSET 2016

  • Brajendra Panda
  • Sudeep Sharma
  • Usha Batra

Part of the Studies in Computational Intelligence book series (SCI, volume 713)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Zafar Sherin, Mehta Deepa
    Pages 1-15
  3. Manjeet Dagar, Nirbhay Mishra, Asha Rani, Shivangi Agarwal, Jyoti Yadav
    Pages 17-28
  4. Deepti Kaushik, Vivek Singh Verma
    Pages 29-43
  5. Shivam Agarwal, Shelly Sachdeva
    Pages 61-75
  6. Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait
    Pages 93-101
  7. Mehta Deepa, Kashyap Indu, Zafar Sherin
    Pages 103-114
  8. Sandeep Kaur, Sukhamrit Kaur, Sandeep K. Sood
    Pages 115-150
  9. Meenakshi, Neelam Duhan, Tushar Atreja
    Pages 177-198
  10. Ridhi Arora, Parvinder Singh
    Pages 211-225
  11. Suraj R. Balaskar, Neha Rai
    Pages 227-237
  12. Sudipta K. Mishra, Naresh Sharma
    Pages 277-288
  13. Parth Mahajan, Kushagra Agrawal
    Pages 289-297

About this book

Introduction

The present book includes a set of selected best papers from the 3rd International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2016), held in Gurgaon, India, from 21 to 22 October 2016. The conference focused on the experimental, theoretical and application aspects of innovations in computational intelligence and provided a platform for the academicians and scientists. This book provides an insight into ongoing research and future directions in this novel, continuously evolving field. 

Many decades have been devoted to creating and refining methods and tools for computational intelligence such as Artificial Neural Networks, Evolutionary Computation, Fuzzy Logic, Computational Swarm Intelligence and Artificial Immune Systems. However, their applications have not yet been broadly disseminated. 

Computational intelligence can be used to provide solutions to many real-life problems, which could be translated into binary languages, allowing computers to process them. These problems, which involve various fields such as robotics, bioinformatics, computational biology, gene expression, cancer classification, protein function prediction, etc., could potentially be solved using computational intelligence techniques.

Keywords

Machine Intelligence Parallel Distributed Processing Pattern Recognition Natural Computing Artificial Intelligence

Editors and affiliations

  • Brajendra Panda
    • 1
  • Sudeep Sharma
    • 2
  • Usha Batra
    • 3
  1. 1.Department of Computer Science and Computer EngineeringUniversity of ArkansasFayettevilleUSA
  2. 2.School of EngineeringGD Goenka UniversityGurgaonIndia
  3. 3.Department of Computer Science Engineering, School of EngineeringGD Goenka UniversityGurgaonIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-4555-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-4554-7
  • Online ISBN 978-981-10-4555-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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