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Advances in Computational Intelligence

Proceedings of Second International Conference on Computational Intelligence 2018

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Sudip Kumar Sahana

    1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India

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  2. Vandana Bhattacharjee

    1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India

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    You can also search for this editor in PubMed   Google Scholar

  • Reflects current research issues involving various aspects of computational intelligence
  • Introduces new resource material to meet challenges and find solutions to problems in the areas of computational intelligence models, artificial intelligence, neural networks etc
  • Gathers work by leading scientists, researchers, and students from around the globe

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 988)

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xiii
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  2. Soft Computing

    1. Front Matter

      Pages 1-1
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    2. An Adaptive Neuro-Fuzzy Inference System-Based Intelligent Grid-Connected Photovoltaic Power Generation

      • Neeraj Priyadarshi, Farooque Azam, Amarjeet Kumar Sharma, Monika Vardia
      Pages 3-14

    3. Efficient Energy Management in Hybrid Electric Vehicles Using DRBF Networks

      • Ralli Sangno, Siba Prasada Panigrahi, Saurav Kumar
      Pages 15-21

    4. Torque and Current Noise Reduction of BLDC Motor Using Fuzzy Logic Control Strategy

      • Goutam Goswami, P. R. Thakura
      Pages 23-36

  3. Evolutionary Computing and Bio Inspired Algorithms

    1. Front Matter

      Pages 37-37
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    2. Bi-objective Optimization of a Reconfigurable Supply Chain Using a Self-organizing Migration Algorithm

      • L. N. Pattanaik, Paras Agarwal, Saloni Ranjan, Urja Narayan
      Pages 39-53

  4. Image Processing and Cognition Systems

    1. Front Matter

      Pages 55-55
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    2. Infected Area Segmentation and Severity Estimation of Grapevine Using Fuzzy Logic

      • Reva Nagi, Sanjaya Shankar Tripathy
      Pages 57-67

    3. Image Encryption Using Modified Rubik’s Cube Algorithm

      • Rupesh Kumar Sinha, Iti Agrawal, Kritika Jain, Anushka Gupta, S. S. Sahu
      Pages 69-78

  5. Data Mining

    1. Front Matter

      Pages 79-79
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    2. Decision Support System for Business Intelligence Using Data Mining Techniques: A Case Study

      • Pankaj Gupta, Bharat Bushan Sagar
      Pages 81-94

    3. Target Marketing Using Feedback Mining

      • Ritesh Kumar, Partha Sarathi Bishnu
      Pages 95-103

  6. Intelligent Systems and Modelling

    1. Front Matter

      Pages 105-105
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    2. A Comparative Study Among Different Signaling Schemes of Optical Burst Switching (OBS) Network for Real-Time Multimedia Applications

      • Manoj Kr. Dutta
      Pages 107-117

    3. Performance Analysis of Deflection Routing and Segmentation Dropping Scheme in Optical Burst Switching (OBS) Network: A Simulation Study

      • Manoj Kr. Dutta
      Pages 119-128

    4. Secure Anti-Void Energy-Efficient Routing (SAVEER) Protocol for WSN-Based IoT Network

      • Ayesha Tabassum, Sayema Sadaf, Ditipriya Sinha, Ayan Kumar Das
      Pages 129-142

    5. Mathematical Analysis of Effectiveness of Security Patches in Securing Wireless Sensor Network

      • Apeksha Prajapati
      Pages 143-155

    6. A Novel Debugger for Windows-Based Applications

      • J. Anirudh Sharma, Partha Sarthy Banerjee, Hritika Panchratan, Ayush
      Pages 157-164

    7. Nudge-Based Hybrid Intelligent System for Influencing Buying Decision

      • Vivek Gupta, Sudip Kumar Sahana
      Pages 165-174
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Keywords

About this book

This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications.

Editors and Affiliations

  • Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India

    Sudip Kumar Sahana, Vandana Bhattacharjee

About the editors

Sudip Kumar Sahana received his BE degree in Computer Technology from Nagpur University, India in 2001, and his MTech (Computer Science) and PhD (Engineering) from the BIT, Mesra, India in 2006 and 2013, respectively. His major field of study is in Computer Science. He is currently working as an Assistant Professor at the Department of Computer Science and Engineering, BIT. His research and teaching interests include soft computing, computational intelligence, distributed computing and artificial intelligence. He has authored several research papers in the field of Computer Science and served as an editorial team member and reviewer for a number of journals. He is a lifetime member of the Indian Society for Technical Education (ISTE), India. 


Vandana Bhattacherjee is currently a Professor at the Department of Computer Science and Engineering, Birla Institute of Technology, (BIT) in Mesra, India. She completed her BE (CSE) at the BIT in 1989,and her MTech and PhD in Computer Science at Jawaharlal Nehru University, New Delhi in 1991 and 1995, respectively. She has published in several national and international journals and conference proceedings, and is a member of IEEE Computer Society and Life Member of the Computer Society of India. Her research areas include software process models, software cost estimation, software metrics, data mining and soft computing.

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