الصفحة 38
الصفحة 38
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Machine learning refined : Foundations, algorithms, and applications

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization

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Machine Learning in Dentistry

This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties.

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Machine learning for neurodegenerative disorders : advancements and applications

Explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders.

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Machine Learning and Knowledge Extraction ; 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings

Constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

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Machine learning and deep learning in medical data analytics and healthcare applications

Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.

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Lung cancer : causes, diagnosis, treatment

Lung cancer remains the leading cause of cancer-related deaths in the United States and the world - responsible for approximately 1.8 million deaths annually Lung cancer is still expected to cause more than 4 million deaths over the next 50 years. Thus, in addition to tobacco control efforts, a focus on early detection and treatment interventions will be critical to further reducing the burden of lung cancer...

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Lung biology and pathophysiology

The lungs are the organ for gas exchange between the body and the external environment. Dysfunction of upper airway epithelium and smooth muscle cells leads to pathogenesis of asthma, chronic obstructive pulmonary disease (COPD), cystic fibrosis, and other conditions, resulting in airway inflammation and narrowing. Injury to alveolar epithelium and endothelium causes influx of neutrophil and protein-rich fluid from circulation, resulting in edema and disruption of gas exchange. In addition to lung structural cells, immune cells, including alveolar macrophages and lymphocytes play critical roles in the maintenance of lung function. This book contributes to the understanding homeostasis of lung cells in the physiological and pathological conditions critical to the development of novel therapeutics.

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Longer-Term Psychiatric Inpatient Care for Adolescents : A Multidisciplinary Treatment Approach

Describes the theoretical underpinnings and operational aspects of delivering longer-term inpatient psychiatric care to adolescents experiencing severe, unremitting mental illness. The authorship is drawn from the multidisciplinary team that supports the Walker Adolescent Unit, located in Sydney, Australia. The book begins with an account of the planning and development of the unit, an examination of the physical environment, and the adaptations that have been made to ensure its functionality. There follows a consideration of the therapeutic milieu. The book describes clinical processes such as admission and discharge planning, formulation and case review. There is information about the specific roles of professionals and the therapies that they provide. The book describes the steps taken to maintain and enhance the physical wellbeing of patients. There are chapters dedicated to governance, and to training and education. The final chapter describes how the unit responded to challenges created by the COVID-19 pandemic.

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Liver Radioembolization with Y90 Microspheres

Provides an in-depth account of all aspects of radioembolization, a relatively novel technique based on the efficacy of radiotherapy for the treatment of liver tumors.

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Liposuction : Principles and Practice

Liposuction began as a contouring procedure but has evolved into the treatment of obese patients, gynecomastia, ptosis, macromastia, and even patients who have complications from heart disease or diabetes. Other disorders such as axillary sweat hypersecretion, lipomas, and angiomas are also potential disorders that may be treated with liposuction.

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Linear Programming and its Applications

This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of  mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered along with a variety of approaches that incorporate multiple objectives in the model.  

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Linear Programming : Foundations and Extensions

Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. The book is carefully written. Specific examples and concrete algorithms precede more abstract topics. Topics are clearly developed with a large number of numerical examples worked out in detail.

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Linear Optimization Problems with Inexact Data

Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems—for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy expectations. There were various reasons for the failure. One of them, which is the central topic of this book, was the inexactness of the data used to create the models. This phenomenon, inherent in most pratical problems, has been dealt with in several ways. At first, linear programming models used "average” values of inherently vague coefficients, but the optimal solutions of these models were not always optimal for the original problem itself. Later researchers developed the stochastic linear programming approach, but this too has its limitations. Recently, interest has been given to linear programming problems with data given as intervals, convex sets and/or fuzzy sets. The individual results of these studies have been promising, but the literature has not presented a unified theory. Linear Optimization Problems with Inexact Data attempts to present a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.

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Lindhe's Clinical Periodontology and Implant Dentistry ; 2 Vol. Set ; 7th ed.

Provides an introduction to anatomy, including periodontal tissues, the edentulous ridge, the mucosa at teeth and implants, and osseointegration Discusses the epidemiology of periodontal and peri-implant diseases Explores the microbiology, including dental biofilms and calculus, periodontal infections, peri-implant infections, the pathogenesis of gingivitis and periodontitis, and the genetic susceptibility to periodontal disease Includes the latest perio- and peri-implant disease classifications Contains updated evidence-based preventive and treatment modalities for the treatment of periodontal and peri-implant diseases Features the latest evidence-based therapeutic alternatives on the use of dental implants to rehabilitate the lost dentition

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Lights in the Sky : Identifying and Understanding Astronomical and Meteorological Phenomena

Lights in the Sky is a truly comprehensive guide to observing, identifying, and imaging sky glows and other unusual atmospheric/astronomical phenomena, in both the night and daytime skies.

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Light Scattering Reviews 3 : Light Scattering and Reflection

Ddevoted to modern knowledge and milestones in both experimental and theoretical techniques related to light scattering and radiative transport problems. It will consist of 3 parts comprising 11 contributions written by world leading experts in their respective fields. The general focus of the book will be on remote sensing of geophysical media. The first part will be devoted exclusively to studies of single light scattering by particles of different shapes and chemical compositions. The first chapter will review in situ measurements of cloud optical characteristics like cloud extinction and phase function, with the emphasis on ice clouds. Chapter 2 will cover opitcally soft particles common in marine environments and bio-suspensions while Chapter 3 will describe numerical techniques applicable not only to isotropic but also to chiral and anisotropic mdia. The final chapter in this part will deal with spatial symmetries in light scattering problems.

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Light Scattering by Optically Soft Particles: Theory and Applications

Deals with a particular class of approximation methods in the context of light scattering by small particles. This class of approximations has been termed as eikonal or soft particle approximations. The eikonal approximation was studied extensively in the potential scattering and then adopted in optical scattering problems. In this context, the eikonal and other soft particle approximations pertain to scatterers whose relative refractive index compared to surrounding medium is close to unity. The study of these approximations is very important because soft particles occur abundantly in nature. For example, the particles that occur in ocean optics, biomedical optics, atmospheric optics and in many industrial applications can be classified as soft particles. This book was written in recognition of the long-standing and current interest in the field of scattering approximations for soft particles. It should prove to be a useful addition for researchers in the field of light scattering.

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Lifestyle modifications : The best treatment for prediabetes

Demonstrate the physiological effects of lifestyle modification on prediabetes. Prediabetes is a condition in which individuals have blood glucose levels higher than normal but not high enough to be classified as diabetes. Prediabetes is now recognized as a reversible condition that increases an individual’s risk for development of diabetes. Lifestyle risk factors for prediabetes include overweight and physical inactivity.

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Lifestyle medicine

Contains extensive sections on the treatment and prevention of coronary heart disease,stroke, cancer, diabetes, obesity, substance abuse, dementia, and many other clinical conditions. Key lifestyle modalities such as physical activity, nutrition, weight management, sleep, stress reduction, and positive connections with other humans are supported by detailed discussion and state-of-the-art evidence. The expanded section on behavioral medicine provides an important framework for these discussions. Every chapter has been completely revised and many new topics added, such as lifestyle medicine for nursing, psychiatry, and preventive neurology.

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Lie Theory Vol.229 : Unitary Representations and Compactifications of Symmetric Spaces

It focuses on two fundamental questions in the theory of semisimple Lie groups: the geometry of Riemannian symmetric spaces and their compactifications; and branching laws for unitary representations, i.e., restricting unitary representations to (typically, but not exclusively, symmetric) subgroups and decomposing the ensuing representations into irreducibles.Ji's introductory chapter motivates the subject of symmetric spaces and their compactifications with carefully selected examples. A discussion of Satake and Furstenberg boundaries and a survey of the geometry of Riemannian symmetric spaces in general provide a good background for the second chapter, namely, the Borel–Ji authoritative treatment of various types of compactifications useful for studying symmetric and locally symmetric spaces. Borel–Ji further examine constructions of Oshima, De Concini, Procesi, and Melrose, which demonstrate the wide applicability of compactification techniques. Kobayashi examines the important subject of branching laws. Important concepts from modern representation theory, such as Harish–Chandra modules, associated varieties, microlocal analysis, derived functor modules, and geometric quantization are introduced. Concrete examples and relevant exercises engage the reader.

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