Intelligent Reliability Analysis Using Matlab And Ai

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Intelligent Reliability Analysis Using MATLAB and AI

Author : Dr. Cherry Bhargava
Publisher : BPB Publications
ISBN 13 : 939068465X
Total Pages : 204 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Intelligent Reliability Analysis Using MATLAB and AI by : Dr. Cherry Bhargava

Download or read book Intelligent Reliability Analysis Using MATLAB and AI written by Dr. Cherry Bhargava and published by BPB Publications. This book was released on 2021-06-21 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to minimize the global problem of e-waste KEY FEATURES ● Explore core concepts of Reliability Analysis, various smart models, different electronic components, and practical use of MATLAB. ● Cutting edge coverage on building intelligent systems for reliability analysis. ● Includes numerous techniques and methods to identify failure and reliability parameters. DESCRIPTION Intelligent Reliability Analysis using MATLAB and AI explains a roadmap to analyze and predict various electronic components’ future life and performance reliability. Deeply narrated and authored by reliability experts, this book empowers the reader to deepen their understanding of reliability identification, its significance, preventive measures, and various techniques. The book teaches how to predict the residual lifetime of active and passive components using an interesting use case on electronic waste. The book will demonstrate how the capacity of re-usability of electronic components can benefit the consumer to reuse the same component, with the confidence of successful operations. It lists key attributes and ways to design experiments using Taguchi’s approach, based on various acceleration factors. This book makes it easier for readers to understand reliability modeling of active and passive components using the Artificial Neural Network, Fuzzy Logic, Adaptive Neuro-Fuzzy Inference System (ANFIS). The book keeps you engaged with a systematic and detailed explanation of step-wise MATLAB-based implementation of electronic components. These explanations and illustrations will help the readers to predict fault and failure well before time. WHAT YOU WILL LEARN ● Optimize various acceleration factors for exploring the residual life of components experimentally. ● Design an intelligent model to predict the upcoming faults and failures of electronic components and make provision for timely replacement of the fault components. ● Design experiments using Taguchi’s approach. ● Understand reliability modeling of active and passive components using the Artificial Neural Network and Fuzzy Logic. WHO THIS BOOK IS FOR This book is for current and aspiring emerging tech professionals, researchers, students, and anyone who wishes to understand and diagnose the product life of electronic components using the power of artificial intelligence and various experimental techniques. TABLE OF CONTENTS 1. RELIABILITY FUNDAMENTALS 2. RELIABILITY MEASURES 3. REMAINING USEFUL LIFETIME ESTIMATION TECHNIQUES 4. INTELLIGENT MODELS FOR RELIABILITY PREDICTION 5. ACCELERATED LIFE TESTING 6. EXPERIMENTAL TESTING OF ACTIVE AND PASSIVE COMPONENTS 7. INTELLIGENT MODELING FOR RELIABILITY ASSESSMENT USING MATLAB

Data Analytics: Principles, Tools, and Practices

Author : Gaurav Aroraa
Publisher : BPB Publications
ISBN 13 : 9388511956
Total Pages : 481 pages
Book Rating : 4.3/5 (885 download)

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Book Synopsis Data Analytics: Principles, Tools, and Practices by : Gaurav Aroraa

Download or read book Data Analytics: Principles, Tools, and Practices written by Gaurav Aroraa and published by BPB Publications. This book was released on 2022-01-24 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Complete Data Analytics Guide for Learners and Professionals. KEY FEATURES ● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database. ● Dive into Machine Learning, its tools, and applications. ● Coverage of applications of Big Data, Data Analysis, and Business Intelligence. DESCRIPTION These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science. WHAT YOU WILL LEARN ● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. ● Learn to manage data warehousing with real time transaction processing. ● Explore various machine learning techniques that apply to data analytics. ● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry. ● Acquaint yourself with Big Data tools and statistical techniques for machine learning. WHO THIS BOOK IS FOR IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book. TABLE OF CONTENTS 1. Database Management System 2. Online Transaction Processing and Data Warehouse 3. Business Intelligence and its deeper dynamics 4. Introduction to Data Visualization 5. Advanced Data Visualization 6. Introduction to Big Data and Hadoop 7. Application of Big Data Real Use Cases 8. Application of Big Data 9. Introduction to Machine Learning 10. Advanced Concepts to Machine Learning 11. Application of Machine Learning

Advances in Computational Mathematics for Industrial System Reliability and Maintainability

Author : Mohammad Yazdi
Publisher : Springer Nature
ISBN 13 : 3031535146
Total Pages : 201 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Advances in Computational Mathematics for Industrial System Reliability and Maintainability by : Mohammad Yazdi

Download or read book Advances in Computational Mathematics for Industrial System Reliability and Maintainability written by Mohammad Yazdi and published by Springer Nature. This book was released on with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Uncertainty and Artificial Intelligence

Author : Abdelkhalak El Hami
Publisher : John Wiley & Sons
ISBN 13 : 1786309424
Total Pages : 212 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Uncertainty and Artificial Intelligence by : Abdelkhalak El Hami

Download or read book Uncertainty and Artificial Intelligence written by Abdelkhalak El Hami and published by John Wiley & Sons. This book was released on 2024-01-11 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's information technology, along with Artificial Intelligence (AI), is moving towards total communication between all computerized systems. AI is a representation of human intelligence based on the creation and application of algorithms in specific computer environments. Its aim is to enable computers to act like human beings. For it to work, this type of technology requires computer systems, data with management systems and advanced algorithms, used by AI. In mechanical engineering, AI can offer many possibilities: in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration control and agro composites, among many others. This book is dedicated to Artificial Intelligence uncertainties in mechanical problems. Each chapter clearly sets out used and developed illustrative examples. Aimed at students, Uncertainty and Artificial Intelligence is also a valuable resource for practicing engineers and research lecturers.

Artificial Intelligence in HCI

Author : Helmut Degen
Publisher : Springer Nature
ISBN 13 : 3031358910
Total Pages : 683 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Artificial Intelligence in HCI by : Helmut Degen

Download or read book Artificial Intelligence in HCI written by Helmut Degen and published by Springer Nature. This book was released on 2023-07-08 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: This double volume book set constitutes the refereed proceedings of 4th International Conference, AI-HCI 2023, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The first volume focuses on topics related to Human-Centered Artificial Intelligence, explainability, transparency and trustworthiness, ethics and fairness, as well as AI-supported user experience design. The second volume focuses on topics related to AI for language, text, and speech-related tasks, human-AI collaboration, AI for decision-support and perception analysis, and innovations in AI-enabled systems.

Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements

Author : Xueyan Liu
Publisher : CRC Press
ISBN 13 : 1000533344
Total Pages : 825 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements by : Xueyan Liu

Download or read book Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements written by Xueyan Liu and published by CRC Press. This book was released on 2021-12-24 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements contains 124 papers from 14 different countries which were presented at the 5th International Symposium on Frontiers of Road and Airport Engineering (IFRAE 2021, Delft, the Netherlands, 12-14 July 2021). The contributions focus on research in the areas of "Circular, Sustainable and Smart Airport and Highway Pavement" and collects the state-of-the-art and state-of-practice areas of long-life and circular materials for sustainable, cost-effective smart airport and highway pavement design and construction. The main areas covered by the book include: • Green and sustainable pavement materials • Recycling technology • Warm & cold mix asphalt materials • Functional pavement design • Self-healing pavement materials • Eco-efficiency pavement materials • Pavement preservation, maintenance and rehabilitation • Smart pavement materials and structures • Safety technology for smart roads • Pavement monitoring and big data analysis • Role of transportation engineering in future pavements Green and Intelligent Technologies for Sustainable and Smart Asphalt Pavements aims at researchers, practitioners, and administrators interested in new materials and innovative technologies for achieving sustainable and renewable pavement materials and design methods, and for those involved or working in the broader field of pavement engineering.

Applications of Artificial Intelligence and Machine Learning

Author : Bhuvan Unhelker
Publisher : Springer Nature
ISBN 13 : 9811948313
Total Pages : 792 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Applications of Artificial Intelligence and Machine Learning by : Bhuvan Unhelker

Download or read book Applications of Artificial Intelligence and Machine Learning written by Bhuvan Unhelker and published by Springer Nature. This book was released on 2022-09-13 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

The 15th International Conference Interdisciplinarity in Engineering

Author : Liviu Moldovan
Publisher : Springer Nature
ISBN 13 : 3030938174
Total Pages : 869 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis The 15th International Conference Interdisciplinarity in Engineering by : Liviu Moldovan

Download or read book The 15th International Conference Interdisciplinarity in Engineering written by Liviu Moldovan and published by Springer Nature. This book was released on 2022-02-02 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains research papers that were accepted for presentation at the 15th International Conference on Interdisciplinarity in Engineering—INTER-ENG 2021, which was held on October 7–8, 2021, in the city of Târgu Mureș, Romania. The general scope of the conference “Innovative aspects of Industry 4.0 concepts aimed at consolidating the digital future of manufacturing in companies” is proposing a new approach related to the development of a new generation of smart factories grounded on the manufacturing and assembly process digitalization. It is related to advance manufacturing technology, lean manufacturing, sustainable manufacturing, additive manufacturing, and manufacturing tools and equipment. It is a leading international professional and scientific forum of great interest for engineers and scientists who can read in this book research works contributions and recent developments as well as current practices in advanced fields of engineering.

Proceedings of 2024 Chinese Intelligent Systems Conference

Author : Yingmin Jia
Publisher : Springer Nature
ISBN 13 : 9819786584
Total Pages : 720 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of 2024 Chinese Intelligent Systems Conference by : Yingmin Jia

Download or read book Proceedings of 2024 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer Nature. This book was released on with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning in Earth, Environmental and Planetary Sciences

Author : Hossein Bonakdari
Publisher : Elsevier
ISBN 13 : 0443152853
Total Pages : 390 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Machine Learning in Earth, Environmental and Planetary Sciences by : Hossein Bonakdari

Download or read book Machine Learning in Earth, Environmental and Planetary Sciences written by Hossein Bonakdari and published by Elsevier. This book was released on 2023-07-03 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data. The book provides guided examples using real-world data for numerous novel and mathematically detailed machine learning techniques that can be applied in Earth, environmental, and planetary sciences, including detailed MATLAB coding coupled with line-by-line descriptions of the advantages and limitations of each method. The book also presents common postprocessing techniques required for correct data interpretation. This book provides students, academics, and researchers with detailed understanding of how machine learning algorithms can be applied to solve real case problems, how to prepare data, and how to interpret the results. - Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary data - Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes - Includes numerous figures, illustrations and tables to help readers better understand the concepts covered

AI Techniques for Reliability Prediction for Electronic Components

Author : Bhargava, Cherry
Publisher : IGI Global
ISBN 13 : 1799814661
Total Pages : 330 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis AI Techniques for Reliability Prediction for Electronic Components by : Bhargava, Cherry

Download or read book AI Techniques for Reliability Prediction for Electronic Components written by Bhargava, Cherry and published by IGI Global. This book was released on 2019-12-06 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.

Intelligent Human Computer Interaction

Author : Jong-Hoon Kim
Publisher : Springer Nature
ISBN 13 : 3030984044
Total Pages : 797 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Intelligent Human Computer Interaction by : Jong-Hoon Kim

Download or read book Intelligent Human Computer Interaction written by Jong-Hoon Kim and published by Springer Nature. This book was released on 2022-03-19 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 13th International Conference on Intelligent Human Computer Interaction, IHCI 2021, which took place in Kent, OH, USA, in December 2021. The 59 full and 9 short papers included in these proceedings were carefully reviewed and selected from a total of 142 submissions. The papers were organized in topical sections named human centered AI; and intelligent interaction and cognitive computing

Digital Signal Processing with Matlab Examples, Volume 1

Author : Jose Maria Giron-Sierra
Publisher : Springer
ISBN 13 : 9811025347
Total Pages : 653 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Digital Signal Processing with Matlab Examples, Volume 1 by : Jose Maria Giron-Sierra

Download or read book Digital Signal Processing with Matlab Examples, Volume 1 written by Jose Maria Giron-Sierra and published by Springer. This book was released on 2016-11-19 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book’s last chapter focuses on modulation, an example of the intentional use of non-stationary signals.

Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction

Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
ISBN 13 : 1522573690
Total Pages : 1456 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction by : Khosrow-Pour, D.B.A., Mehdi

Download or read book Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-09-28 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems

Author : Adel Mellit
Publisher : Academic Press
ISBN 13 : 012820642X
Total Pages : 376 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Handbook of Artificial Intelligence Techniques in Photovoltaic Systems by : Adel Mellit

Download or read book Handbook of Artificial Intelligence Techniques in Photovoltaic Systems written by Adel Mellit and published by Academic Press. This book was released on 2022-06-23 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis provides readers with a comprehensive and detailed overview of the role of artificial intelligence in PV systems. Covering up-to-date research and methods on how, when and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase PV system efficiency. Sections cover problem-solving data for challenges, including optimization, advanced control, output power forecasting, fault detection identification and localization, and more.Supported by the use of MATLAB and Simulink examples, this comprehensive illustration of AI-techniques and their applications in photovoltaic systems will provide valuable guidance for scientists and researchers working in this area. - Includes intelligent methods in real-time using reconfigurable circuits FPGAs, DSPs and MCs - Discusses the newest trends in AI forecasting, optimization and control applications - Features MATLAB and Simulink examples highlighted throughout

Explainable AI Applications for Human Behavior Analysis

Author : Paramasivan, P.
Publisher : IGI Global
ISBN 13 :
Total Pages : 391 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Explainable AI Applications for Human Behavior Analysis by : Paramasivan, P.

Download or read book Explainable AI Applications for Human Behavior Analysis written by Paramasivan, P. and published by IGI Global. This book was released on 2024-05-20 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists – the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow. Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI's innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds.

Artificial Intelligence for Digitising Industry – Applications

Author : Ovidiu Vermesan
Publisher : CRC Press
ISBN 13 : 1000794318
Total Pages : 435 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Digitising Industry – Applications by : Ovidiu Vermesan

Download or read book Artificial Intelligence for Digitising Industry – Applications written by Ovidiu Vermesan and published by CRC Press. This book was released on 2022-09-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.