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E-BooksComputational Intelligence in Engineering and Project Management



Computational Intelligence in Engineering and Project Management
Free Download Computational Intelligence in Engineering and Project Management
English | 2024 | ISBN: 3031504941 | 378 Pages | PDF EPUB (True) | 27 MB
This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management.



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E-BooksArtificial Intelligence, Part I



Artificial Intelligence, Part I
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English | 2024 | ISBN: 9819988497 | 599 Pages | PDF (True) | 115 MB
This two-volume set LNAI 14473-14474 constitutes revised selected papers presented at the Third CAAI International Conference, CICAI 2023, in Fuzhou, China, in July 2023. CICAI is a summit forum in the field of artificial intelligence and the 2023 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 100 papers were thoroughly reviewed and selected from 376 submissions. CICAI 2023 conference covers a wide range of of AI generated content, computer vision, machine learning, nature language processing, application of AI, and data mining, amongst others.



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E-BooksArtificial Intelligence, Data Science and Applications, Volume 1



Artificial Intelligence, Data Science and Applications, Volume 1
Free Download Artificial Intelligence, Data Science and Applications: ICAISE'2023, Volume 1
English | 2024 | ISBN: 3031484649 | 590 Pages | PDF (True) | 50 MB
This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.



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E-BooksArtificial Intelligence, Data Science and Applications ICAISE'2023, Volume 2



Artificial Intelligence, Data Science and Applications ICAISE'2023, Volume 2
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English | 2024 | ISBN: 3031485726 | 637 Pages | PDF (True) | 41 MB
This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.



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E-BooksArtificial Intelligence to Assist Mathematical Reasoning



Artificial Intelligence to Assist Mathematical Reasoning
Free Download Artificial Intelligence to Assist Mathematical Reasoning: Proceedings of a Workshop
English | 2023 | ISBN: 0309710251 | 89 Pages | PDF (True) | 1.4 MB
Artificial intelligence (AI) has the potential to aid new mathematical discoveries. Particularly as the amount of data available grows beyond what any person can study, AI can be useful in its power to identify patterns in data and refine relationships between properties. Sponsored by the National Science Foundation, the National Academies of Sciences, Engineering, and Medicine Board on Mathematical Sciences and Analytics convened a 3-day public virtual workshop on June 12-14, 2023, to bring together stakeholders to discuss the state of the art and current challenges and opportunities to advance research in using AI for mathematical reasoning. This publication summarizes the presentations and discussion of the workshop.



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E-BooksArtificial Intelligence of Things (AIoT)



Artificial Intelligence of Things (AIoT)
Free Download Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication Systems
English | 2024 | ISBN: 1032552999 | 231 Pages | PDF (True) | 9 MB
This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks.



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E-BooksArtificial Intelligence in Vision–Based Structural Health Monitoring



Artificial Intelligence in Vision–Based Structural Health Monitoring
Free Download Artificial Intelligence in Vision-Based Structural Health Monitoring
English | 2024 | ISBN: 3031524063 | 396 Pages | PDF (True) | 16 MB
This book provides a comprehensive coverage of the state-of-the-art artificial intelligence (AI) technologies in vision-based structural health monitoring (SHM). In this data explosion epoch, AI-aided SHM and rapid damage assessment after natural hazards have become of great interest in civil and structural engineering, where using machine and deep learning in vision-based SHM brings new research direction. As researchers begin to apply these concepts to the structural engineering domain, especially in SHM, several critical scientific questions need to be addressed: (1) What can AI solve for the SHM problems? (2) What are the relevant AI technologies? (3) What is the effectiveness of the AI approaches in vision-based SHM? (4) How to improve the adaptability of the AI approaches for practical projects? (5) How to build a resilient AI-aided disaster prevention system making use of the vision-based SHM?



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E-BooksArtificial Intelligence in Process Fault Diagnosis



Artificial Intelligence in Process Fault Diagnosis
Free Download Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance
English | 2024 | ISBN: 111982589X | 516 Pages | EPUB (True) | 8.2 MB
Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis.



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E-BooksArtificial Intelligence in Process Fault Diagnosis Methods for Plant Surveillance



Artificial Intelligence in Process Fault Diagnosis Methods for Plant Surveillance
Free Download Artificial Intelligence in Process Fault Diagnosis
by Fickelscherer, Richard J.;

English | 2024 | ISBN: 111982589X | 436 pages | True PDF | 17.31 MB



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E-BooksArtificial Intelligence in Manufacturing



Artificial Intelligence in Manufacturing
Free Download Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI
English | 2024 | ISBN: 3031464516 | 532 Pages | PDF EPUB (True) | 61 MB
This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios.



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