In Automation and Computational Intelligence for Road Maintenance and Management, a team of accomplished researchers delivers an incisive reference that covers the latest developments in computer technology infrastructure management. The book contains an overview of foundational and emerging technologies and methods in both automation and computational intelligence, as well as detailed presentations of specific methodologies.

The distinguished authors emphasize the most recent advances in the maintenance and management of infrastructure robotics, automated inspection, remote sensing, and the applications of new and emerging computing technologies, including artificial intelligence, evolutionary computing, fuzzy logic, genetic algorithms, knowledge discovery and engineering, and more.

Automation and Computational Intelligence for Road Maintenance and Management explores a universal synthesis of the cutting edge in parameters and indices to evaluate models. It also includes:

Thorough introductions to management science and the latest methods of automation and the structure and framework of automation and computing intelligence
Comprehensive explorations of advanced image processing techniques, recent advances in fuzzy, and diagnosis automation
Practical discussions of segmentation and fragmentation and different types of features and feature extraction methods
In-depth examinations of methods of classification along with various developed methodologies and models of quantification, evaluation, and indexing in automation

Perfect for postgraduate students in road and transportation engineering, evaluation, and assessment, Automation and Computational Intelligence for Road Maintenance and Management will also earn a place in the libraries of researchers interested in or working with the evaluation and assessment of infrastructure.

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Yes, you can access Automation and Computational Intelligence for Road Maintenance and Management by Hamzeh Zakeri,Fereidoon Moghadas Nejad,Amir H. Gandomi in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Title Page
Copyright Page
Contents
Dedication
Preface
Author Biography
Chapter 1 Concepts and Foundations Automation and Emerging Technologies
Chapter 2 The Structure and Framework of Automation and Key Performance Indices (KPIs)
Chapter 3 Advanced Images Processing Techniques
Chapter 4 Fuzzy and Its Recent Advances
Chapter 5 Automatic Detection and Its Applications in Infrastructure
Chapter 6 Feature Extraction and Fragmentation Methods
Chapter 7 Feature Prioritization and Selection Methods
Chapter 8 Classification Methods and Its Applications in Infrastructure Management
Chapter 9 Models of Performance Measures and Quantification in Automation
Chapter 10 Nature-Inspired Optimization Algorithms (NIOAs)
Appendix A Data Sets and Codes
Appendix B The Glossary of Nature-Inspired Optimization Algorithms (NIOAS)
Appendix C Sample Code for Feature Selection
Index
EULA

About this book

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Table of contents