Computational Intelligence For Engineering And Management Applications


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Computational Intelligence in Software Engineering


Computational Intelligence in Software Engineering

Author: Witold Pedrycz

language: en

Publisher:

Release Date: 2004


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Artificial Intelligence in Construction Engineering and Management


Artificial Intelligence in Construction Engineering and Management

Author: Limao Zhang

language: en

Publisher: Springer Nature

Release Date: 2021-06-18


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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.

Reliability Engineering and Computational Intelligence


Reliability Engineering and Computational Intelligence

Author: Coen van Gulijk

language: en

Publisher: Springer Nature

Release Date: 2021-08-06


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Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.