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Intelligent Signal Processing and Data Analysis


About the Series

In the current era of huge amount of data types and measurement in all sectors and applications, the same requires automated capturing, data analysis and evaluation methods. Consequently, sophisticated intelligent approaches become essential as flexible and powerful tools based on different signal processing algorithms for multiple applications. Intelligent signal processing (ISP) methods are progressively swapping the conventional analog signal processing techniques in several domains, such as speech analysis and processing, biomedical signal analysis radar and sonar signal processing, and processing, telecommunications, and geophysical signal processing. The main focus is this book series is to find out the new trends and techniques in the intelligent signal processing and data analysis leading to scientific breakthroughs in applied applications. Artificial fuzzy logic, deep learning, optimization algorithms, and neural networks are presented for signal processing applications. The series main emphasis is to offer both extensiveness diversity of selected intelligent signal processing and depth in the selected state-of-the-art data analysis techniques for solving real world problems.

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Hybrid Image Processing Methods for Medical Image Examination

Hybrid Image Processing Methods for Medical Image Examination

1st Edition

Forthcoming

Venkatesan Rajinikanth, E Priya, Hong Lin, Fuhua Lin
December 24, 2020

In view of better results expected from examination of medical dataset (images) with a hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible Hybrid Image Examination techniques for medical images. It describes various image ...

A Beginner’s Guide to Multi-Level Image Thresholding

A Beginner’s Guide to Multi-Level Image Thresholding

1st Edition

Forthcoming

Venkatesan Rajinikanth, Nadaradjane Sri Madhava Raja, Nilanjan Dey
November 20, 2020

A Beginner’s Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement.   Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images) Presents a ...

Data Analytics for Pandemics A COVID-19 Case Study

Data Analytics for Pandemics A COVID-19 Case Study

1st Edition

Forthcoming

Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey
August 31, 2020

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID...

Coefficient of Variation and Machine Learning Applications

Coefficient of Variation and Machine Learning Applications

1st Edition

K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
December 02, 2019

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading ...

A Beginner’s Guide to Image Shape Feature Extraction Techniques

A Beginner’s Guide to Image Shape Feature Extraction Techniques

1st Edition

Jyotismita Chaki, Nilanjan Dey
August 12, 2019

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the ...

Digital Image Watermarking Theoretical and Computational Advances

Digital Image Watermarking Theoretical and Computational Advances

1st Edition

Surekha Borra, Rohit Thanki, Nilanjan Dey
December 11, 2018

The Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking Reviews hardware ...

A Beginner’s Guide to Image Preprocessing Techniques

A Beginner’s Guide to Image Preprocessing Techniques

1st Edition

Jyotismita Chaki, Nilanjan Dey
November 05, 2018

For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective ...

Bio-Inspired Algorithms in PID Controller Optimization

Bio-Inspired Algorithms in PID Controller Optimization

1st Edition

Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashour
June 01, 2018

This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency ...

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