Advances in Artificial Intelligence Systems

V. Rajinikanth (Editor)
Department of Electronics and Instrumentation Engg., St. Joseph’s College of Engineering, Chennai, India

K. Kamalanand, PhD (Editor)
Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai, India

Series: Computer Science, Technology and Applications
BISAC: COM004000



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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This book will help in fast decision making and solving complex real-world problems. In recent years, the fields of artificial intelligence along with nanotechnology, robotics and 3D printing have been referred to as the technologies of the future which will help mankind move towards a time of self-sustainability and development even in resource limited environments. Systems which mimic cognitive functions such as learning and problem solving, are referred to as intelligent systems. Such systems have the capability to ‘think’ and ‘act’ in times when expert procedures are required in real world scenarios. In recent years, the field of artificial intelligence has given rise to several branches such as swarm intelligence, machine learning and deep learning algorithms.

Swarm intelligence systems mimic the intelligent behaviors of a group or a colony of organisms such as a swarm of bees or a school of fish, in which the individuals of the group collectively work together to reach a common goal. Recent artificial intelligence approaches such as deep learning techniques and swarm intelligence algorithms have been proved to be useful in the development of intelligent systems in a variety of fields such as medical and biological systems, process control, etc. This book discusses few applications of computational intelligence algorithms such as social group optimization, convolutional neural networks, firefly algorithm and non-dominated sorting in genetic algorithms. The purpose of this book is to bring multidisciplinary researchers together to discuss state-of-art applications of artificial intelligence.
(Imprint: Nova)


Chapter 1. RGB Image Multi-Thresholding with Otsu and Social-Group-Optimization
(S. Arunmozhi, S. Ravi and K. Kamalaland, Department of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India, and others)

Chapter 2. Classification of SPECT Images for Parkinson’s Disease Using Convolutional Neural Network and Evaluation Based on Learning Algorithms
(S. Sivaranjini and C. M. Sujatha, Department of Electronics and Communication Engineering, CEG Campus, Anna University, Chennai, India)

Chapter 3. Retinal Optic Disc and Blood Vessel Examination Using Firefly Algorithm
(N. Sri Madhava Raja and V. Rajinikanth, Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai, India)

Chapter 4. Inspection of Dermoscopy Images Using Kapur’s Entropy and Watershed Segmentation
(K. Kamalanand, R. Vijayarajan and S. Nachiappan, Department of Instrumentation Engineering, M.I.T. Campus, Anna University, Chennai, India, and others)

Chapter 5. Design of Observer based Multi-Objective State Feedback Controller for MIMO System
(S. Sutha and T. Thyagarajan, Instrumentation Engineering, MIT Campus, Anna University, Chennai, India)

Chapter 6. Factors to be Considered in Designing Heuristic Algorithm Based PI/PID Controllers
(V. Rajinikanth, Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai, India)


"Artificial intelligence is an important field of research and I congratulate the Editors, Dr. V. Rajinikanth and Dr. K. Kamalanand for bringing out this excellent book entitled “Advances in Artificial Intelligence Systems”. This book is sectioned into six chapters and each chapter provides excellent information on some of the recent algorithms in the field of computational intelligence along with their applications. Computational intelligence algorithms such as Social Group Optimization, Convolution Neural Networks, Firefly Optimization and Non-dominated Sorting Genetic Algorithms-II are explained along with few applications in the field of biomedical diagnostics and process control. This book will be highly useful both as a research reference and as a learning medium." - Dr. P. Mannar Jawahar, Senior Professor and 8th Vice Chancellor, Anna University, Vice Chancellor, Karunya Institute of Technology and Sciences

Keywords: Artificial intelligence, Swarm intelligence, Heuristic algorithms, Image and signal analysis

The target audience will be researchers at all levels of higher education as well as faculty, graduate students and engineers.

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