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            Applications of Computing

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            Introduction to Computing Applications in Forestry and Natural Resource Management

            Introduction to Computing Applications in Forestry and Natural Resource Management (Paperback)

            By Wang, Jingxin

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management. This book provides a comprehensive introduction to computers and their applications in forest and natural resource manag...ement and is designed for both undergraduate and graduate students in forestry and natural resources. It introduces state-of-the-art applications for several of the most important computer technologies in terms of data acquisition, data manipulation, basic programming techniques, and other related computer and Internet concepts and applications. This book consists of six parts and 19 chapters.
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            ISBN 9780367573089
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
            In stock at publisher; delivery usually 15-20 working days due to covid19 delays
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            Feature Engineering for Machine Learning and Data Analytics

            Feature Engineering for Machine Learning and Data Analytics (Paperback)

            Edited by Dong, Guozhu; Liu, Huan

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely de...pends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a
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            ISBN 9780367571856
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
            In stock at publisher; delivery usually 15-20 working days due to covid19 delays
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            Trustworthy Cyber-Physical Systems Engineering

            Trustworthy Cyber-Physical Systems Engineering (Paperback)

            Edited by Romanovsky, Alexander; Ishikawa, Fuyuki

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            From the Foreword Getting CPS dependability right is essential to forming a solid foundation for a world that increasingly depends on such systems. This book represents the cutting edge of what we know about rigorous ways to ensure that our CPS designs are trustworthy. I recommen...d it to anyone who wants to get a deep look at these concepts that will form a cornerstone for future CPS designs. --Phil Koopman, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA Trustworthy Cyber-Physical Systems Engineering provides practitioners and researchers with a comprehensive introduction to the area of trustworthy Cyber Physical Systems (CPS) engineering. Topics in this book cover questions such as What does having a trustworthy CPS actually mean for something as pervasive as a global-scale CPS? How does CPS trustworthiness map onto existing knowledge, and where do we need to know more? How can we mathematically prove timeliness, correctness, and other essential properties for systems that may be adaptive and even self-healing? How can we better represent the physical reality underlying real-world numeric quantities in the computing system? How can we establish, reason about, and ensure trust between CPS components that are designed, installed, maintained, and operated by different organizations, and which may never have really been intended to work together? Featuring contributions from leading international experts, the book contains sixteen self-contained chapters that analyze the challenges in developing trustworthy CPS, and identify important issues in developing engineering methods for CPS. The book addresses various issues contributing to trustworthiness complemented by contributions on TCSP roadmapping, taxonomy, and standardization, as well as experience in deploying advanced system engineering methods in industry. Specific approaches to ensuring trustworthiness, namely, proof and refinement, are covered, as well as engineering methods for dealing with hybrid asp
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            ISBN 9780367574420
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
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            Modern Directional Statistics

            Modern Directional Statistics (Paperback)

            By Ley, Christophe; Verdebout, Thomas

            • RRP: $88.99
            • $88.99
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            Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate sta...tistics eases the reading but is not mandatory. The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein's Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Societe Francaise de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics. Thomas Verdebout is professor of mathematical statistics at Universite libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.
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            ISBN 9780367573010
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
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            Statistical Reinforcement Learning: Modern Machine Learning Approaches

            Statistical Reinforcement Learning: Modern Machine Learning Approaches (Paperback)

            By Sugiyama, Masashi

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framewo...rk is ideal for decision making in unknown environments with large amounts of data. Supplying an up-to-date and accessible introduction to the field, Statistical Reinforcement Learning: Modern Machine Learning Approaches presents fundamental concepts and practical algorithms of statistical reinforcement learning from the modern machine learning viewpoint. It covers various types of RL approaches, including model-based and model-free approaches, policy iteration, and policy search methods. Covers the range of reinforcement learning algorithms from a modern perspective Lays out the associated optimization problems for each reinforcement learning scenario covered Provides thought-provoking statistical treatment of reinforcement learning algorithms The book covers approaches recently introduced in the data mining and machine learning fields to provide a systematic bridge between RL and data mining/machine learning researchers. It presents state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. Numerous illustrative examples are included to help readers understand the intuition and usefulness of reinforcement learning techniques. This book is an ideal resource for graduate-level students in computer science and applied statistics programs, as well as researchers and engineers in related fields.
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            ISBN 9780367575861
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
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            Statistical and Machine-Learning Data Mining:: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

            Statistical and Machine-Learning Data Mining:: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition (Paperback, 3rd New edition)

            By Ratner, Bruce

            • RRP: $88.99
            • $88.99
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            Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition. In the third edition of this bestselle...r, the author has completely revised, reorganized, and repositioned the original chapters and produced 13 new chapters of creative and useful machine-learning data mining techniques. In sum, the 43 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. What is new in the Third Edition: The current chapters have been completely rewritten. The core content has been extended with strategies and methods for problems drawn from the top predictive analytics conference and statistical modeling workshops. Adds thirteen new chapters including coverage of data science and its rise, market share estimation, share of wallet modeling without survey data, latent market segmentation, statistical regression modeling that deals with incomplete data, decile analysis assessment in terms of the predictive power of the data, and a user-friendly version of text mining, not requiring an advanced background in natural language processing (NLP). Includes SAS subroutines which can be easily converted to other languages. As in the previous edition, this book offers detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. The author addresses each methodology and assigns its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
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            ISBN 9780367573607
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
            In stock at publisher; delivery usually 15-20 working days due to covid19 delays
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            Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

            Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications (Paperback)

            By Chi, Chong-Yung; Li, Wei-Chiang; Lin, Chia-Hsiang

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications. In addi...tion to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful figures, remarks, illustrative examples, and guided journeys from theory to cutting-edge research explorations, for efficient and in-depth learning, especially for engineering students and professionals. With the powerful convex optimization theory and tools, this book provides you with a new degree of freedom and the capability of solving challenging real-world scientific and engineering problems.
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            ISBN 9780367573928
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
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            Cryptographic and Information Security Approaches for Images and Videos

            Cryptographic and Information Security Approaches for Images and Videos (Paperback)

            By Ramakrishnan, S.

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            This book presents essential principles, technical information, and expert insights on multimedia security technology. Illustrating the need for improved content security as the Internet and digital multimedia applications rapidly evolve, it presents a wealth of everyday protecti...on application examples in fields including . Giving readers an in-depth introduction to different aspects of information security mechanisms and methods, it also serves as an instructional tool on the fundamental theoretical framework required for the development of advanced techniques.
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            ISBN 9780367570668
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
            In stock at publisher; delivery usually 15-20 working days due to covid19 delays
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            Visual Tracking in Conventional Minimally Invasive Surgery

            Visual Tracking in Conventional Minimally Invasive Surgery (Paperback)

            By Payandeh, Shahram

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            Visual Tracking in Conventional Minimally Invasive Surgery introduces the various tools and methodologies that can be used to enhance a conventional surgical setup with some degree of automation. The main focus of this book is on methods for tracking surgical tools and how they c...an be used to assist the surgeon during the surgical operation. Various notions associated with surgeon-computer interfaces and image-guided navigation are explored, with a range of experimental results. The book starts with some basic motivations for minimally invasive surgery and states the various distinctions between robotic and non-robotic (conventional) versions of this procedure. Common components of this type of operation are presented with a review of the literature addressing the automation aspects of such a setup. Examples of tracking results are shown for both motion and gesture recognition of surgical tools, which can be used as part of the surgeon-computer interface. In the case of marker-less tracking, where no special visual markers can be added to the surgical tools, the tracking results are divided into two types of methodology, depending on the nature and the estimate of the visual noise. Details of the tracking methods are presented using standard Kalman filters and particle filters. The last part of the book provides approaches for tracking a region on the surgical scene defined by the surgeon. Examples of how these tracking approaches can be used as part of image-guided navigation are demonstrated. This book is designed for control engineers interested in visual tracking, computer vision researchers and system designers involved with surgical automation, as well as surgeons, biomedical engineers, and robotic researchers.
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            ISBN 9780367574307
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
            In stock at publisher; delivery usually 15-20 working days due to covid19 delays
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            Remote Sensing and Cognition: Human Factors in Image Interpretation

            Remote Sensing and Cognition: Human Factors in Image Interpretation (Paperback)

            Edited by White, Raechel A.; Coltekin, Arzu; Hoffman, Robert R.

            • RRP: $88.99
            • $88.99
            • In Stock At Publisher

            Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. Remote Sensing and Cognition: Human Factors in Image Interpretation brings together current topics widely recognized and addressed regarding human cognition in g...eographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge elicitation and modeling of expertise, the effects of different aspects of realism on the interpretation of the environment, spatial learning using imagery, the effect of visual perspective on interpretation, and a variety of technologies and methods for utilizing knowledge in the analysis of remote sensing imagery. Written by leaders in the field, this book provides answers to the host of questions raised at the nexus of psychology and remote sensing. Academics and researchers with an interest in the human issues surrounding the use of remote sensing data will find this book to be an invaluable resource. The topics covered in this book are useful for both the scientific analysis of remote sensing imagery as well as the design and display of remote sensing imagery to facilitate a variety of other tasks including education and wayfinding. Features Brings together remote sensing, environmental, and computer scientists discussing their work from a psychological or human factors perspective Answers questions related to aesthetics of scientific visualization and mathematical analysis of perceptible objects Explains the perception and interpretation of realistic representations Provides illustrative real-world examples Shows how the features of display symbols, elements, and patterns have clear effects on processes of perception and visual search
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            ISBN 9780367571788
            Released AU 30 Jun 2020
            Publisher Taylor & Francis Ltd
            Interest Age 19+ years
            Availability
            In stock at publisher; delivery usually 15-20 working days due to covid19 delays
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