Hybrid Computational Intelligence: Research and Applications, 1st Edition (Hardback) book cover

Hybrid Computational Intelligence

Research and Applications, 1st Edition

Edited by Siddhartha Bhattacharyya, Václav Snášel, Indrajit Pan, Debashis De

CRC Press

240 pages | 81 B/W Illus.

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Hardback: 9781138320253
pub: 2019-10-10
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Description

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.

Table of Contents

1 Nature-Inspired Algorithms: A Comprehensive Review

Essam H. Houssein, Mina Younan, and Aboul Ella Hassanien

1.1 Introduction

1.2 Research Trends

1.3 Classification of Nature-Inspired Algorithms

1.4 Variants of Nature-Inspired Algorithms

1.5 A review of the most recent NI algorithms

1.6 Conclusion

2 Hybrid Cartesian Genetic Programming Algorithms: A Review

Johnathan Melo Neto, Heder S. Bernardino, and Helio J.C. Barbosa

2.1 Introduction

2.2 Metaheuristics

2.3 Fundamentals of Cartesian Genetic Programming

2.4 Literature Review on Hybrid Metaheuristics

2.5 Hybrid Cartesian Genetic Programming Algorithms

2.6 Discussion on Hybrid CGP Algorithms

2.7 Future Directions of Hybrid CGP Algorithms

2.8 Concluding Remarks

3 Tuberculosis Detection from Conventional Sputum Smear Microscopic Images using Machine Learning Techniques

Rani Oomman Panicker, Biju Soman, and M.K Sabu

3.1 Introduction

3.2 Sputum Smear Microscopic Images

3.3 Machine learning techniques for TB detection

3.4 Discussions

3.5 Conclusions and future scope

4 Privacy towards GIS based Intelligent Tourism Recommender System in Big Data Analytics

Abhaya Kumar Sahoo, Chittaranjan Pradhan, and Siddhartha Bhattacharyya

4.1 Introduction

4.2 Background

4.3 Geographical Information System Used In TRS

4.4 Big Data Analytics in Tourism

4.5 Machine learning techniques used in GIS based TRS

4.6 Privacy Preserving Methods Used in GIS based TRS

4.7 Proposed Privacy preserving TRS method using collaborative altering

4.8 Conclusion and Future Work

5 Preliminary Investigation of Neural Network Technique to Predict Tribological Properties: A Case Study for Biomedical Alloy of Nickel Concentration in Co-30Cr-4Mo Matrix

Amit Aherwar and Amar Patnaik

5.1 Introduction

5.2 Test Material and Methods

5.3 Results and Discussions

5.4 Simulation Model for wear response

5.5 Conclusion

6 Local Pattern Laws Energy Measure for Texture Classifcation

Sonali Dash and Manas R. Senapati

6.1 Introduction

6.2 Related work

6.3 Local Pattern Laws' Energy Measure

6.4 Implementation and Experiments

6.5 Conclusion

7 Analysis of Bse Sensex Data Using Tools Drawn from Statistical Physics and Computational Science

Soumya Chatterjee

7.1 Introduction

7.2 The data analysed

7.3 The data vectors and Principal Component Analysis

7.4 Kernel Principal Component Analysis

7.5 Detrended Fluctuation Analysis

7.6 Conclusion

8 Automatic Sheep Age Estimation based on Active contours without edges

8.1 Introduction

8.2 Related Work

8.3 Theory and background

8.4 The proposed automatic sheep age estimation system

8.5 Experimental results and discussion

8.6 Conclusion and future work

9 Diversity Matrix based Performance Improvement for Ensemble Learning Approach

9.1 Introduction

9.2 Related Work

9.3 Theoretical Background

9.4 Proposed Method

9.5 Results and Discussion

9.6 Conclusion and Future Work

About the Editors

Siddhartha Bhattacharyya did his Bachelors in Physics, Bachelors in Optics and Optoelectronics and Masters in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He is the recipient of the University Gold Medal from the University of Calcutta for his Masters. He is the recipient of the coveted National Award Adarsh Vidya Saraswati Rashtriya Puraskar for excellence in education and research in 2016. He is the recipient of the Distinguished HoD Award and Distinguished Professor Award conferred by Computer Society of India, Mumbai Chapter, India in 2017. He is the recipient of the coveted Bhartiya Shiksha Ratan Award conferred by Economic Growth Foundation, New Delhi in 2017. He received the NACF-SCRA, India award for Best Faculty for Research in 2017. He received the Honorary Doctorate Award (D. Litt.) from The University of South America and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has also received the Bharatiya Rashtriya Shiksha Gaurav Puraskar 2017 for contribution to education from CEGR, India in 2017. He has been appointed as the ACM Distinguished Speaker for 2018-2020 by ACM

Vaclav Snasel's research and development experience includes over 25 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multidimensional data indexing, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applied to various real world problems. He has given more than 10 plenary lectures and conference tutorials in these areas. He has authored/co-authored several refereed journal/conference papers and book chapters. He has published more than 400 papers (147 is recorded at Web of Science). He has supervised many Ph.D. students from Czech Republic, Jordan, Yemen, Slovakia, Ukraine and Vietnam.

Indrajit Pan graduated with Bachelor of Engineering (B. E.) in Computer Science and Engineering from University of Burdwan in 2005 with Honours and completed his post graduation with Master of Technology (M. Tech.) in Information Technology from Bengal Engineering and Science University, Shibpur in 2009. He was awarded University Medal in his Master’s. In 2015 he received Ph. D. in Engineering from Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur for his dissertation titled Design and Analysis of Droplet Routing Algorithms for Digital Microfluidic Biochip. His present research interest includes community detection, social network analysis and cloud computing.

Debashis De earned his M.Tech from the University of Calcutta in 2002 and his Ph.D (Engineering) from Jadavpur University in 2005. He is a senior member of the IEEE. Life Member of CSI and member of the International Union of Radio science. He worked as R&D engineer for Telektronics. He is the head of the department and Professor in the Department of Computer Science and Engineering of the West Bengal University of Technology, India, and Adjunct research fellow at the University of Western Australia, Australia. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Herriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award during 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 at New Delhi and in 2011 at Istanbul, Turkey, from the International Union of Radio Science, Head Quarter, Belgium. His research interests include location and handoff management, mobile cloud computing, traffic forecasting, green mobile networks, and low power nanodevice designing for mobile applications. He has published in more than two hundred peer-reviewed international journals in IEEE, IET, Elsevier, Springer, World Scientific, Wiley, IETE, Taylor Francis and ASP, sixty International conference papers, four researches monographs in springer, CRC, NOVA and ten text books published by Person education, Vikas publishers.

Subject Categories

BISAC Subject Codes/Headings:
COM037000
COMPUTERS / Machine Theory
COM051240
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General