Download or read book The Handbook of Reliability Maintenance and System Safety through Mathematical Modeling written by Amit Kumar and published by Academic Press. This book was released on 2021-01-09 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling discusses the many factors affect reliability and performance, including engineering design, materials, manufacturing, operations, maintenance, and many more. Reliability is one of the fundamental criteria in engineering systems design, with maintenance serving as a way to support reliability throughout a system's life. Addressing these issues requires information, modeling, analysis and testing. Different techniques are proposed and implemented to help readers analyze various behavior measures (in terms of the functioning and performance) of systems. - Enables mathematicians to convert any process or system into a model that can be analyzed through a specific technique - Examines reliability and mathematical modeling in a variety of disciplines, unlike competitors which typically examine only one - Includes a table of contents with simple to complex examples, starting with basic models and then refining modeling approaches step-by-step

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Download or read book International Conference on Reliable Systems Engineering ICoRSE 2023 written by Daniela Doina Cioboată and published by Springer Nature. This book was released on 2023-09-04 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises state-of-the-art research results in the field of mechatronics and other closely related areas and that will be presented on occasion of the third “International Conference of Reliable Systems Engineering (ICoRSE 2023)” that will take place in Bucharest, Romania, between 07–08 September 2023. The first two ICoRSE editions brought together professors, Ph.D. students, and researchers in Europe, North America, and Asia, in countries such as: England, Albania, Austria, Bulgaria, Canada, Czech Republic, Germany, France, Italy, Portugal, Turkey, Ukraine, Uzbekistan, and Vietnam. In this year’s edition of the conference, we have benefitted from the inclusion in the scientific committee of the conference of professors in all of these countries, and we cover a wide variety of topics, such as: theoretical and applied mechanics; cyber-physical systems, robotics, smart bio-medical and bio-mechatronic systems, new and intelligent materials and structures, modelling and simulation in mechanics and mechatronics, smart mechatronic production and control system, optics, control systems, big data modelling, micro- and nanotechnology, automation, manufacturing optimization, and other. Since the book ́s chapters represent contributions of scholars who work in both state-funded institutions and in the business environment, they reflect a clear picture of the novelties attained in the leading-edge sciences that are in the scope of the conference. It is our belief that the book is useful to both students and researchers in all areas of engineering, who will each find at least one topic worthy of their interest in this work.

Download or read book Master s Theses Directories written by and published by . This book was released on 2007 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Education, arts and social sciences, natural and technical sciences in the United States and Canada".

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Human Machine Shared Contexts written by William Lawless and published by Academic Press. This book was released on 2020-06-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of "shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. - Discusses the foundations, metrics, and applications of human-machine systems - Considers advances and challenges in the performance of autonomous machines and teams of humans - Debates theoretical human-machine ecosystem models and what happens when machines malfunction

Download or read book Artificial Neural Networks written by Chi Leung Patrick Hui and published by BoD – Books on Demand. This book was released on 2011-04-11 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers 27 articles in the applications of artificial neural networks (ANN) in various disciplines which includes business, chemical technology, computing, engineering, environmental science, science and nanotechnology. They modeled the ANN with verification in different areas. They demonstrated that the ANN is very useful model and the ANN could be applied in problem solving and machine learning. This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas.

Download or read book Human in the loop System Design and Control Adaptation for Behavior Assistant Robots written by Yuquan Leng and published by Frontiers Media SA. This book was released on 2024-06-03 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the progress and development of human-robot systems, the coordination among humans, robots, and environments has become increasingly sophisticated. In this Research Topic, we focus on an important field in robotics and automation disciplines, which is commonly defined as behavior-assistant robots. The scope includes but is not limited to: (1) rehabilitation assistive devices, such as rigid/soft exoskeletons, prosthetic systems, orthoses, and intelligent wheelchairs; (2) intelligent medical systems, such as endoscopic robots, surgical robots, and the navigation systems; (3) industrial application devices, such as collaborative manipulators, load-bearing exoskeletons, supernumerary robotic limbs; (4) intelligent domestic devices, such as mobile robots, elderly-care robots, walking-aids robots and so on. The emergence of robot-assisted daily behaviors, based on aforementioned devices, is gradually becoming part of our social lives, which can improve weak motor abilities, enhance physical functionalities, and enable various other benefits.

Download or read book Handbook of Research on Artificial Intelligence in Human Resource Management written by Strohmeier, Stefan and published by Edward Elgar Publishing. This book was released on 2022-03-08 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Download or read book Modern Methods in Neuroethology written by Bart R. H. Geurten and published by Frontiers Media SA. This book was released on 2022-07-12 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Documentation Abstracts written by and published by . This book was released on 1993 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2023-06-27 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More reliable weather forecasting enables farmers to make important planting and harvesting decisions that can enhance agricultural yield. Thus, there is a dire need to combine all available modern technologies and agricultural science for economic and environmentally sustainable crop production. In this direction, artificial intelligence (AI) serves as a budding solution in the domain of agriculture practices. Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices discusses various tools and technologies that can be used in smart farming and agriculture practice and explores the role of different emerging technologies like the internet of things, big data, machine learning, deep learning, and AI from agricultural prospects. Covering key topics such as farming, pests, soil, and weeds, this premier reference source is ideal for environmentalists, farmers, agriculturalists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Download or read book Human Machine Interaction in the Digital Era written by J Dhilipan and published by CRC Press. This book was released on 2024-05-23 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Human Machine Interaction in the Digital Era (ICHMIDE) 2023 conference aims to address the main issues of concern in the design issues with a particular emphasis on the design and development of interfaces for autonomous robots. Its main objective is to provide an international forum for the dissemination and exchange of up-to-date scientific information on research related to integrated human/machine systems at multiple scales, and includes areas such as human/machine interaction, engineering mathematical models, assistive technologies, system modelling, design, testing and validation. The organization of ICHMS is based on the following Track types: Smart Applications for Digital Era, Computational Mathematical and Electronics, Intelligent Systems in Security and Communication Technologies, Technological Interventions using AI and Machine Learning, Applied Science, and IoT Techniques for Industries.

Download or read book IoT Sensors ML AI and XAI Empowering A Smarter World written by Biswajeet Pradhan and published by Springer Nature. This book was released on with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent and Reliable Engineering Systems written by Nikesh Kumar and published by CRC Press. This book was released on 2021-09-14 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: IEMERA is a three-day International Conference specially designed with cluster of scientific and technological sessions, providing a common platform for the researchers, academicians, industry delegates across the globe to share and exchange their knowledge and contribution. The emerging areas of research and development in Electrical, Electronics, Mechanical and Software technologies are major focus areas. The conference is equipped with well-organized scientific sessions, keynote and plenary lectures, research paper and poster presentations and world-class exhibitions. Moreover, IEMERA 2020 facilitates better understanding of the technological developments and scientific advancements across the world by showcasing the pace of science, technology and business areas in the field of Energy Management, Electronics, Electric & Thermal Power, Robotics and Automation.

Download or read book Quality of Information and Communications Technology written by Ana C. R. Paiva and published by Springer Nature. This book was released on 2021-08-27 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on the Quality of Information and Communications Technology, QUATIC 2021, held in Algarve, Portugal*, in September 2021. The 30 full papers and 9 short papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections: ICT verification and validation; software evolution; process modeling, improvement and assessment; quality aspects in quantum computing; safety, security, and privacy; quality aspects in machine learning, AI and data analytics; evidence-based software quality engineering; quality in cyber-physical systems; software quality education and training. *The conference was held virtually due to the COVID-19 pandemic.