Applied Computational Intelligence in Engineering and Information Technology

Applied Computational Intelligence in Engineering and Information Technology
Author: Radu-Emil Precup
Publisher: Springer Science & Business Media
Total Pages: 362
Release: 2012-03-22
Genre: Technology & Engineering
ISBN: 3642283055

This book highlights the potential of getting benefits from various applications of computational intelligence techniques. The present book is structured such that to include a set of selected and extended papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011, held in Timisoara, Romania, from 19 to 21 May 2011. After a serious paper review performed by the Technical Program Committee only 116 submissions were accepted, leading to a paper acceptance ratio of 65 %. A further refinement was made after the symposium, based also on the assessment of the presentation quality. Concluding, this book includes the extended and revised versions of the very best papers of SACI 2011 and few invited papers authored by prominent specialists. The readers will benefit from gaining knowledge of the computational intelligence and on what problems can be solved in several areas; they will learn what kind of approaches is advised to use in order to solve these problems. A very important benefit for the readers is an understanding of what the major difficulties are and the cost-effective solutions to deal with them. This book will offer a convenient entry for researchers and engineers who intend to work in the important fields of computational intelligence.

Applied Computational Intelligence and Soft Computing in Engineering

Applied Computational Intelligence and Soft Computing in Engineering
Author: Saifullah Khalid
Publisher: Engineering Science Reference
Total Pages: 0
Release: 2017-09-13
Genre: Computational intelligence
ISBN: 9781522531296

Presents the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies, such as evolutionary computation, neural networks, and fuzzy logic. This volume ncludes coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence.

Computational Intelligence in Emerging Technologies for Engineering Applications

Computational Intelligence in Emerging Technologies for Engineering Applications
Author: Orestes Llanes Santiago
Publisher: Springer Nature
Total Pages: 301
Release: 2020-02-14
Genre: Technology & Engineering
ISBN: 3030344096

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.

Handbook of Research on Computational Intelligence for Engineering, Science, and Business

Handbook of Research on Computational Intelligence for Engineering, Science, and Business
Author: Bhattacharyya, Siddhartha
Publisher: IGI Global
Total Pages: 535
Release: 2012-11-30
Genre: Computers
ISBN: 1466625198

Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.

Applications of Artificial Intelligence in Engineering

Applications of Artificial Intelligence in Engineering
Author: Xiao-Zhi Gao
Publisher: Springer Nature
Total Pages: 922
Release: 2021-05-10
Genre: Technology & Engineering
ISBN: 9813346043

This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.

Applications of Computational Intelligence in Multi-Disciplinary Research

Applications of Computational Intelligence in Multi-Disciplinary Research
Author: Ahmed A. Elngar
Publisher: Academic Press
Total Pages: 222
Release: 2022-02-14
Genre: Science
ISBN: 0128241764

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine
Author: Ali, Shawkat
Publisher: IGI Global
Total Pages: 469
Release: 2012-06-30
Genre: Computers
ISBN: 1466618310

"This book explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively to address complicated real-world problems"--

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Computational Intelligence Techniques and Their Applications to Software Engineering Problems
Author: Ankita Bansal
Publisher: CRC Press
Total Pages: 267
Release: 2020-09-27
Genre: Computers
ISBN: 1000191923

Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems

Computational Sciences and Artificial Intelligence in Industry

Computational Sciences and Artificial Intelligence in Industry
Author: Tero Tuovinen
Publisher: Springer Nature
Total Pages: 278
Release: 2021-08-19
Genre: Technology & Engineering
ISBN: 3030707873

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.