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Computational Intelligence in Engineering Problem Solving

About the Series

Computational Intelligence (CI) can be framed as a heterogeneous domain that harmonized and coordinated several technologies, such asprobabilistic reasoning, artificial life, multi-agent systems, neuro-computing, fuzzy systems, and evolutionary algorithms. Integrating several isciplines, such as Machine Learning (ML), Artificial Intelligence (AI), Decision Support Systems (DSS), and Database Management Systems (DBMS) increases the CI power and impact in several engineering applications. This book series provides a well-standing forum to discuss the characteristics of CI systems in engineering. It emphasizes on the development of CI techniques and their role as well as the state-of-the- art solutions in different real world engineering applications. The book series is proposed for researchers, academics, scientists, engineers and professionals who are nvolved in the new techniques of CI. CI techniques including artificial fuzzy logic and neural networks are presented for biomedical image processing, power systems, and reactor applications.

4 Series Titles

Per Page

Machine Learning and IoT for Intelligent Systems and Smart Applications

Machine Learning and IoT for Intelligent Systems and Smart Applications

1st Edition


Edited By Madhumathy P, M Vinoth Kumar, R. Umamaheswari
November 29, 2021

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of...

Applied Intelligent Decision Making in Machine Learning

Applied Intelligent Decision Making in Machine Learning

1st Edition

Edited By Himansu Das, Jitendra Kumar Rout, Suresh Chandra Moharana, Nilanjan Dey
November 19, 2020

The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification,...

IoT Security Paradigms and Applications Research and Practices

IoT Security Paradigms and Applications: Research and Practices

1st Edition

Edited By Sudhir Kumar Sharma, Bharat Bhushan, Narayan C. Debnath
October 08, 2020

Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the ...

Applied Machine Learning for Smart Data Analysis

Applied Machine Learning for Smart Data Analysis

1st Edition

Edited By Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan
June 05, 2019

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context ...

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