Novel Developments in Computational Intelligence Systems and Their Applications in Multidisciplinary Areas
Novel Developments in Computational Intelligence Systems and Their Applications in Multidisciplinary Areas - Image 2

Novel Developments in Computational Intelligence Systems and Their Applications in Multidisciplinary Areas

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Manoj Sahni, PhD – Associate Professor and Head, Mathematics, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India
José Maria Merigó, PhD – Professor, School of Systems, Management and Leadership at the Faculty of Engineering and Information Technology, University of Technology Sydney, Australia
Ernesto León Castro, PhD – Professor, Universidad Católica de la Santísima Concepcion, Chile
Ritu Sahni, PhD – Visiting Faculty, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

Series: Computer Science, Technology and Applications
BISAC: COM094000; COM044000; COM025000
DOI: https://doi.org/10.52305/WGNU9162

Target Audience: The book will be useful for Data Scientists, web developers, cryptographers, medical researchers, engineers, researchers, and graduate level students in computer science, data science, operations research, and mathematics. It provides novel applications as well as new theoretical developments required to understand current computational intelligence topics such as deep learning, machine learning, fuzzy based systems, and various other relevant fields. Graduate and postgraduate Computer Science, Engineering, Information Technology and Mathematics students, as well as teachers, can use it as a reference book because they can find applications that can be used to clarify specific concepts.

This book covers novel research based on various computational intelligence topics, including deep learning, artificial intelligence, machine learning, neural networks, healthcare, solutions to various problems using fuzzy systems and their applications in cryptography, assignment problems, transportation problems, cloud computing, etc. The goal of writing this book is to promote advances in the field of computational intelligence systems and to aid in the dissemination of results concerning recent applications in the areas of computational intelligence system-based applications, its allied branches like artificial intelligence, deep learning, cloud computing, fuzzy system, etc… among working professionals, researchers, and educators. This book will be useful for Data Scientists, web developers, cryptographers, medical researchers, engineers, researchers, and graduate level students in computer science, data science, operations research, and mathematics. It provides novel applications as well as new theoretical developments required to understand current computational intelligence topics such as deep learning, machine learning, fuzzy based systems, and various other relevant fields. Graduate and postgraduate Computer Science, Engineering, Information Technology and Mathematics students, as well as teachers, can use it as a reference book because they can find applications that can be used to clarify specific concepts.

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Table of Contents

Preface

Chapter 1. Automatic Text Summarization
Ved Suthar¹ and Sejal Thakkar², PhD
¹Computer Science and Technology, Indus University, Ahmedabad, Gujarat, India
²Assistant Professor, CE Department, Indus University, Gujarat, India

Chapter 2. A Survey and Taxonomy on Energy Efficient Software Techniques in Cloud Environments
Neetu Narang Mahajan, PhD, and Bharat Gupta, PhD
Department of Computer Science, Jaypee Institute of Information and Technology, Noida, India

Chapter 3. Epidemic Analysis and Prediction of Future Reachability of COVID-19 Using Machine Learning
Gurleen Kaur, MTech (CSE) and Prabhpreet Kaur, PhD
Computer Engineering and Technology, Guru Nanak Dev University. Amritsar, India

Chapter 4. Prediction of Indirect Evaporative Cooling System Using Artificial Neural Networks
Nitin S. Aher¹,², Umesh Gurnani² and Anurag Hamilton², PhD
¹Department of Mechanical Engineering, Sanjivani College of Engineering Kopargaon, Kopargaon, India
²Department of Mechanical Engineering, University of Engineering and Management, Jaipur, India.

Chapter 5. Implementation of Haar Wavelet Transform and Principal Component Analysis Techniques for LSB Image Steganography
Bhumin Mandaliya¹, Ankit Patel¹ and Hardik Joshi²
¹Department of Computer Engineering, LJ Institute of Engineering and Technology, LJ University, Ahmedabad, Gujarat, India
²Department of Mathematics, LJ Institute of Engineering and Technology, LJ University, Ahmedabad, Gujarat, India

Chapter 6. Can Vaccinations Reduce the Rapid Spread of COVID-19?
T Raja Rani¹, TSL Radhika² and Pukkella Shalini³
¹Military Technological College, Muscat, Oman
²BITS PILANI, Hyderabad Campus, Hyderabad, India
³SRH Hochschule, Business and Engineering Dept, Hamm, Germany

Chapter 7. A Comparative Study Between Incident Edge Path Algorithm and Dijkstra Algorithm for Finding the Shortest Path for Networks
Kanchana Munirathinam, Ph.D., and Kavitha Krishnan
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

Chapter 8. Dynamical Behaviors of Fuzzy Prey Predator in SIR Epidemic Model in Prey
Vinothini Palani, PhD, and Kavitha Krishnan
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

Chapter 9. Mid-Width Type-II Sensitivity Upper-Lower Technique for Fuzzy Transportation Problem
Kavitha Krishnan¹, PhD, and A. Akilbasha², PhD
¹Department of Mathematics, School of Advanced Sciences, VIT University, Vellore, India
²School of Mathematics and Statistics, MIT World Peace University, Pune, Maharashtra, India

Chapter 10. A Modified Fuzzy Hungarian Method for Unbalanced Fuzzy Assignment Problem with Multiple Jobs
J. Jansi Rani, A. Manivannan and S. Dhanasekar
School of Advanced Sciences, Vellore Institute of Technology, Chennai, India

Chapter 11. A Diagonal Optimal Algorithm to Solve Assignment Problems with Interval Valued Intuitionistic Fuzzy Parameters
C. Ravindar Raj and S. Dhanasekar
School of Advanced Sciences, Vellore Institute of Technology, Chennai, India

Chapter 12. Single-Valued Pythagorean Neutrosophic Cubic Prioritized Muirhead Mean Operators under Uncertain Data for MADM
Sapna Gahlot and R. N. Saraswat
Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, India

Index

Editor’s ORCID iD

Manoj Sahni – 0000-0001-7949-9147
José Maria Merigó – 0000-0002-4672-6961
Ernesto León Castro – 0000-0002-0087-2226
Ritu Sahni – 0000-0002-5877-0011

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