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![]() English | 2022 | ISBN: 1119716705 | 585 pages | True PDF | 44.63 MB APPLIED MEDICAL STATISTICS ![]() English | 2022 | ISBN: 1119722691, 978-1119722694 | 685 pages | True PDF | 22.52 MB APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES ![]() English | 2022 | ISBN: 1450395910 | 308 pages | True PDF | 96.41 MB Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing. ![]() English | 2022 | ISBN: 1799877760, 978-1799877776 | 293 pages | True PDF EPUB | 46.28 MB Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era's current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated-or traditional-learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline. ![]() English | 2022 | ISBN: 1032185228, 978-1032185224 | 307 pages | True PDF EPB | 12.21 MB This book is an invaluable resource for applied researchers to find the analytical solution of differential equations describing the dynamical system with less computational effort and time. It describes the basic concepts of the differential transform method and solution of various real-world problems described by simple to complicated differential equations. It provides a computational technique that is not only conceptually simple and easy to use but also readily adaptable for computer coding. Different chapters of the book deal with the basic differential equations involved in the physical phenomena as well as a complicated system of differential equations described by the mathematical model. ![]() English | 2022 | ISBN: 1032013028, 978-1032013022 | 321 pages | True PDF | 23.58 MB Computational intelligence (CI) in concrete technology has not yet been fully explored worldwide because of some limitations in data sets. This book discusses the selection and separation of data sets, performance evaluation parameters for different types of concrete and related materials, and sensitivity analysis related to various CI techniques. Fundamental concepts and essential analysis for CI techniques such as artificial neural network, fuzzy system, support vector machine, and how they work together for resolving real-life problems, are explained. ![]() English | 2022 | ISBN: 0323905501 | 332 pages | True pdf, epub | 22.45 MB Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. ![]() English | 2023 | ISBN: 1635501598 | 649 pages | True PDF EPUB | 76.26 MB Covering an array of evidence-based content, including aphasia, traumatic brain injury, dementia, and language in aging, Aphasia and Other Acquired Neurogenic Language Disorders: A Guide for Clinical Excellence, Second Edition is a must-have textbook for clinicians and students studying to be speech-language pathologists. This clinical guide strategically addresses scientific foundations, service delivery, international and multicultural perspectives, assessment, and treatment. ![]() English | 2022 | ISBN: 0593331060 | 303 pages | True EPUB | 2.49 MB A road map for building strong and secure relationships for those who struggle with anxiety in their romantic connections. ![]() English | 2022 | ISBN: 3030918955 | 479 pages | True PDF EPUB | 205.62 MB Anterior hip replacement is a surgical approach that has dramatically changed the landscape of modern hip replacement. The approach is common to orthopedic trauma surgery, but it has been rapidly adopted in recent years for hip replacement as well. Its proposed benefits as a muscle-sparing surgery include less tissue trauma, faster recovery, and fewer hip precautions. While the technique can be challenging during initial learning and early adoption, the approach continues to increase in utilization in the U.S. every year because of these benefits. Understanding the initial development of the anterior surgical approach for hip replacement creates the foundation to better understand its modern clinical benefits and possibilities with advanced techniques. Furthermore, a detailed description of the reasoning behind the continued developments of the anterior approach helps in understanding the key elements needed to obtain the most successful outcomes. |