Bøger i Computational Intelligence in Engineering Problem Solving serien

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 wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in 'epidemic Covid-19', 'e-learning platforms and systems', 'block chain', 'open online courses', and 'visual analytics in healthcare' is described as well. This book:Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.

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 also:Explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, different decision-makingsystem and management, and so forthDescribes applicability of fuzzy optimization techniques in areas of science and managementResolves several issues based on uncertainty using member functionHelps map different problems based on mathematical modelsIncludes issues and problems based on linear and nonlinear optimizationsFocuses on management science such as manpower management and inventory planningThis book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.

The objective of this edited book is to share outcomes on various research domains to develop efficient, adaptive and intelligent models to handle the challenges related to decision making in various aspects. It incorporates the advances of machine intelligent techniques in decision making process and its applications.

This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. It includes pertinent applications and case studies.

The objective of this edited book is to share outcomes on various research domains to develop efficient, adaptive and intelligent models to handle the challenges related to decision making in various aspects. It incorporates the advances of machine intelligent techniques in decision making process and its applications.