1# Library to Find Best eBook for Read
Author : Pedro Yobanis Piñero Pérez
Release :
Genre :
Kind : eBook
Book Rating : 95X/5 ( reviews)
Book Synopsis Computational Intelligence in Engineering and Project Management by : Pedro Yobanis Piñero Pérez
Download or read book Computational Intelligence in Engineering and Project Management written by Pedro Yobanis Piñero Pérez. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:
Author : Pedro Y. Piñero Pérez
Release : 2022-04-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 690/5 ( reviews)
Book Synopsis Artificial Intelligence in Project Management and Making Decisions by : Pedro Y. Piñero Pérez
Download or read book Artificial Intelligence in Project Management and Making Decisions written by Pedro Y. Piñero Pérez. This book was released on 2022-04-07. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new developments and advances in the theory, applications, and design methods of computational intelligence, integrated in various areas of project management and BIM environments. The chapters of the book span different soft computing techniques, such as: linguistic data summarization, fuzzy systems, evolutionary algorithms, estimation distribution algorithms, computing with words, augmented reality, and hybrid intelligence systems. In addition, different applications of the neutrosophic theory are presented for the treatment of uncertainty and indeterminacy in decision-making processes. Several chapters of the book constitute systematic reviews, useful for future investigations in the following topics: linguistic summarization of data, augmented reality, and the development of BIM technologies. It is a particularly interesting book for engineers, researchers, specialists, teachers, and students related to project management and the development of BIM technologies.
Author : Limao Zhang
Release : 2021-06-18
Genre : Technology & Engineering
Kind : eBook
Book Rating : 424/5 ( reviews)
Book Synopsis Artificial Intelligence in Construction Engineering and Management by : Limao Zhang
Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang. This book was released on 2021-06-18. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Author : Ankita Bansal
Release : 2020-09-27
Genre : Computers
Kind : eBook
Book Rating : 923/5 ( reviews)
Book Synopsis Computational Intelligence Techniques and Their Applications to Software Engineering Problems by : Ankita Bansal
Download or read book Computational Intelligence Techniques and Their Applications to Software Engineering Problems written by Ankita Bansal. This book was released on 2020-09-27. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Witold Pedrycz
Release : 1998
Genre : Computers
Kind : eBook
Book Rating : 031/5 ( reviews)
Book Synopsis Computational Intelligence in Software Engineering by : Witold Pedrycz
Download or read book Computational Intelligence in Software Engineering written by Witold Pedrycz. This book was released on 1998. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts? With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.
