Computational Intelligence in Engineering and Project Management
Author: Pedro Yobanis Piñero Pérez
Publisher: Springer Nature
Published:
Total Pages: 365
ISBN-13: 303150495X
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Artificial Intelligence in Construction Engineering and Management
Author: Limao Zhang
Publisher: Springer Nature
Published: 2021-06-18
Total Pages: 271
ISBN-13: 9811628424
DOWNLOAD EBOOKThis 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.
Computational Intelligence in Software Engineering
Author: Witold Pedrycz
Publisher:
Published: 2004
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKComputational Intelligence Techniques and Their Applications to Software Engineering Problems
Author: Ankita Bansal
Publisher: CRC Press
Published: 2020-09-27
Total Pages: 267
ISBN-13: 1000191923
DOWNLOAD EBOOKComputational 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
Handbook of Computational Intelligence in Manufacturing and Production Management
Author: Laha, Dipak
Publisher: IGI Global
Published: 2007-11-30
Total Pages: 516
ISBN-13: 1599045842
DOWNLOAD EBOOKDuring the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.
Handbook of Research on Computational Intelligence Applications in Bioinformatics
Author: Dash, Sujata
Publisher: IGI Global
Published: 2016-06-20
Total Pages: 543
ISBN-13: 1522504281
DOWNLOAD EBOOKDevelopments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.
Computational Intelligence
Author: Dinesh C.S. Bisht
Publisher: Walter de Gruyter GmbH & Co KG
Published: 2020-08-10
Total Pages: 280
ISBN-13: 3110671352
DOWNLOAD EBOOKComputational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.
Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Author: Vishalache Balakrishnan
Publisher: Springer Nature
Published: 2023-02-10
Total Pages: 1066
ISBN-13: 9464630442
DOWNLOAD EBOOKThis is an open access book. As the process of social modernization continues to advance, people realize that the key to social modernization is the modernization of people, and the modernization of people is inseparable from the modernization of education. It can be seen that education modernization is the foundation of social modernization. Education modernization is an important reform direction of education development, including modernization of education concept, modernization of education content, modernization of education equipment, modernization of teachers and modernization of education management. And information management is one of the important methods to realize education modernization Information management is the social activity of planning, organizing, leading and controlling information resources by means of modern information technology in order to effectively develop and utilize information resources. Simply put, information management is the management of information resources and information activities by human beings. Information management is a general term for the information that people collect, process and input and output in the whole management process. The process of information management includes information collection, information transmission, information processing and information storage. Using the new generation of information management technology to enhance the digitalization, networking and intelligence of education management, promote the transformation of education decision-making from experience-driven to data-driven, education management from one-way management to collaborative governance, education service from passive response to active service, and support the modernization of education governance system and governance capacity with information technology. Focusing on education and information management with modernization, this conference provides a platform for scholars in related fields to exchange and share information, discuss how the two affect each other, and: Promote the modernization of education by studying certain educational issues that exist. Open up new perspectives, broaden horizons, and examine the issues under discussion by participants. Create a forum for sharing, research and exchange at an international level, where participants will be informed of the latest research directions, results and content in different fields, thus inspiring them to come up with new research ideas. For those who cannot attend the conference, papers in the social sciences and humanities will be accepted and published in the form of conference proceedings.
AI-Based Services for Smart Cities and Urban Infrastructure
Author: Lyu, Kangjuan
Publisher: IGI Global
Published: 2020-09-04
Total Pages: 353
ISBN-13: 1799850250
DOWNLOAD EBOOKCities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.
Software Engineering with Computational Intelligence
Author: Taghi M. Khoshgoftaar
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 373
ISBN-13: 1461504295
DOWNLOAD EBOOKThe constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet these and other continuously growing challenges by developing and implementing useful software engineering methodologies. Among the more recent advances are those made in the context of software portability, formal verification· techniques, software measurement, and software reuse. However, despite the introduction of some important and useful paradigms in the software engineering discipline, their technological transfer on a larger scale has been extremely gradual and limited. For example, many software development organizations may not have a well-defined software assurance team, which can be considered as a key ingredient in the development of a high-quality and dependable software product. Recently, the software engineering field has observed an increased integration or fusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorithms, genetic programming, and rough sets. Hybrid systems that combine two or more of these individual technologies are also categorized under the Cl umbrella. Software engineering is unlike the other well-founded engineering disciplines, primarily due to its human component (designers, developers, testers, etc. ) factor. The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and software testing.
