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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.

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Differential Equation Based Solutions for Emerging Real-Time Problems

Differential Equation Based Solutions for Emerging Real-Time Problems

1st Edition

Edited By Papiya Debnath, Biswajit Sarkar, Manash Chanda
August 30, 2023

Modeling with differential equations is an effective tool to provide methodical and quantitative solutions to real-world phenomena including investigating measurable features, consolidation and processing of data, and designing and developing complex engineering systems. This book describes ...

Fuzzy Optimization Techniques in the Areas of Science and Management

Fuzzy Optimization Techniques in the Areas of Science and Management

1st Edition

Edited By Santosh Kumar Das, Massimiliano Giacalone
October 17, 2022

This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and models and paradigms, such as path planning and routing design for different wireless networks, organization behavior strategies models, and so forth. It ...

Semantic Web Technologies Research and Applications

Semantic Web Technologies: Research and Applications

1st Edition

Edited By Archana Patel, Narayan C. Debnath, Bharat Bhushan
October 17, 2022

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a ...

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
May 15, 2022

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,...

Industrial Power Systems Evolutionary Aspects

Industrial Power Systems: Evolutionary Aspects

1st Edition

By Amitava Sil, Saikat Maity
May 06, 2022

Industrial Power Systems: Evolutionary Aspects provides evolutionary and integrated aspects of industrial power systems including review of development of modern power systems from DC to microgrid. Generation options of thermal and hydro power including nuclear and power from renewables are ...

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
April 08, 2022

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 ...

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 25, 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 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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