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.
Industrial Power Systems Evolutionary Aspects
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 modeling paradigms such as path planning and routing design for different wireless networks, organization behavior strategies modeling, and so forth. It ...
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 ...
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,...
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 ...
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 ...
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...
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 ...