[PDF] Computational Intelligence For Decision Support In Cyber Physical Systems - eBooks Review

Computational Intelligence For Decision Support In Cyber Physical Systems


Computational Intelligence For Decision Support In Cyber Physical Systems
DOWNLOAD

Download Computational Intelligence For Decision Support In Cyber Physical Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computational Intelligence For Decision Support In Cyber Physical Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Computational Intelligence For Decision Support In Cyber Physical Systems


Computational Intelligence For Decision Support In Cyber Physical Systems
DOWNLOAD
Author : Zeashan H Khan
language : en
Publisher: Springer
Release Date : 2014-02-18

Computational Intelligence For Decision Support In Cyber Physical Systems written by Zeashan H Khan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-18 with Technology & Engineering categories.


This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researchers working on the applications of computational intelligence methods in CPS.



Computational Intelligence In Emerging Technologies For Engineering Applications


Computational Intelligence In Emerging Technologies For Engineering Applications
DOWNLOAD
Author : Orestes Llanes Santiago
language : en
Publisher: Springer Nature
Release Date : 2020-02-14

Computational Intelligence In Emerging Technologies For Engineering Applications written by Orestes Llanes Santiago and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Technology & Engineering categories.


This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.



Uncertainty In Computational Intelligence Based Decision Making


Uncertainty In Computational Intelligence Based Decision Making
DOWNLOAD
Author : Ali Ahmadian
language : en
Publisher: Elsevier
Release Date : 2024-09-16

Uncertainty In Computational Intelligence Based Decision Making written by Ali Ahmadian and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Computers categories.


Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others.The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science. - Provides readers a thorough understanding of the uncertainty that arises in artificial intelligence (AI), computational intelligence (CI) paradigms, and algorithms - Encourages readers to put concepts into practice and solve complex real-world problems using CI development frameworks like decision support systems and visual decision design - Provides a comprehensive overview of the techniques used in computational intelligence, uncertainty, and decision



Computational Intelligence In Industrial Application


Computational Intelligence In Industrial Application
DOWNLOAD
Author : Yanglv Ling
language : en
Publisher: CRC Press
Release Date : 2015-07-28

Computational Intelligence In Industrial Application written by Yanglv Ling and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-28 with Mathematics categories.


These proceedings of the 2014 Pacific-Asia Workshop on Computational Intelligence in Industrial Application (CIIA 2014) include 81 peer-reviewed papers. The topics covered in the book include: (1) Computer Intelligence, (2) Application of Computer Science and Communication, (3) Industrial Engineering, Product Design and Manufacturing, (4) Automatio



Computational Intelligence In Robotics And Automation


Computational Intelligence In Robotics And Automation
DOWNLOAD
Author : S.S Nandhini
language : en
Publisher: CRC Press
Release Date : 2023-06-16

Computational Intelligence In Robotics And Automation written by S.S Nandhini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Technology & Engineering categories.


This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications. The book: Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical Imaging Discusses intelligent robotics applications with the integration of automation and artificial intelligence Covers foundations of the mathematical concepts applied in robotics and industry automation applications Provides application of artificial intelligence (AI) in the area of computational intelligence The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.



Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0


Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0
DOWNLOAD
Author : Joseph Bamidele Awotunde
language : en
Publisher: CRC Press
Release Date : 2025-06-17

Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0 written by Joseph Bamidele Awotunde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.


Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.



Scientometrics


Scientometrics
DOWNLOAD
Author : Mari Jibu
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-07-18

Scientometrics written by Mari Jibu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-18 with Science categories.


Technological change is one of the greatest issues in the modern world. As the world faces societal challenges, e.g., climate challenges, aging problem, and energy security, technology will contribute to new or better solutions for those problems. New technologies take time to develop and mature; moreover, they tend to be born in the gaps of multiple technology fields; therefore, early detection of emerging technological concepts across multiple disciplines will be a very important issue. Our goal seeks to develop automated methods that aid in the systematic, continuous, and comprehensive assessment of technological emergence using one of the major foresight exercises, scientometrics. There is now a huge flood of scientific and technical information, especially scientific publications and patent information. Using the information patterns of emergence for technological concepts has been discovered and theories of technical emergence have been also developed in several years. We have been developing visualization tools in which thousands of technical areas have been interacted with each other and evolved in time. Several indicators of technical emergence have been improved by universities, international organizations, and funding agencies. This book intends to provide readers with a comprehensive overview of the current state of the art in scientometrics that focuses on the systematic, continuous, and comprehensive assessment of technological emergence.



Data Analytics And Decision Support For Cybersecurity


Data Analytics And Decision Support For Cybersecurity
DOWNLOAD
Author : Iván Palomares Carrascosa
language : en
Publisher: Springer
Release Date : 2017-08-01

Data Analytics And Decision Support For Cybersecurity written by Iván Palomares Carrascosa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.


The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.



Intelligent Cyber Physical Systems For Healthcare Solutions


Intelligent Cyber Physical Systems For Healthcare Solutions
DOWNLOAD
Author : Mamta Mittal
language : en
Publisher: Springer Nature
Release Date : 2024-12-07

Intelligent Cyber Physical Systems For Healthcare Solutions written by Mamta Mittal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-07 with Medical categories.


This book widens the insights with the advent of data-driven techniques using intelligent Cyber-Physical Systems to monitor and diagnose patients, provide personalized treatments, and enhance the overall quality of care. Intelligent Cyber-Physical Systems for healthcare solutions is an emerging area of research that aims to integrate advanced technologies, such as sensors, actuators, artificial intelligence, and the Internet of things, with healthcare systems to improve patient outcomes. This book provides an overview of the state-of-the-art in this field, showcasing the latest advances in cyber-physical systems design and implementation—the challenges and opportunities in applying CPS to healthcare. The book covers various aspects of intelligent cyber-physical systems in healthcare, including architecture, communication protocols, data processing, monitoring, diagnosis, rehabilitation, and assistive technologies. It also addresses important issues such as security, privacy, and ethics considerations and presents best practices for ensuring the safety and reliability of CPS in healthcare. The book offers a valuable resource for researchers, practitioners, and students to transform healthcare and improve patient outcomes while highlighting the need for interdisciplinary collaboration and ethical considerations in its design and implementation.



Frontiers Of Artificial Intelligence Ethics And Multidisciplinary Applications


Frontiers Of Artificial Intelligence Ethics And Multidisciplinary Applications
DOWNLOAD
Author : Mina Farmanbar
language : en
Publisher: Springer Nature
Release Date : 2024-02-24

Frontiers Of Artificial Intelligence Ethics And Multidisciplinary Applications written by Mina Farmanbar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-24 with Business & Economics categories.


This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice. Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, natural language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements. Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements. Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation. Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society. Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements. Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments.