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  • Climate Finance with Big Data Analytics

    This book offers a deep dive into the investment and business implications of climate change, uncovering both the emerging opportunities and pressing challenges. Through a powerful lens of big data analytics, it guides readers across four critical pillars of climate finance: climate data, indices, pricing, and reporting and engagement.The book equips readers with a comprehensive analytics toolkit ... Leer más

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  • Modeling in Life Sciences and Ecology

    Machine Learning and Dynamical Systems

    Series series Mathematics and Statistics (R0)
    This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches. While primarily tailored as an introductory textbook for both undergraduate and graduate students, its broader aim is to captivate the interest of seasoned ecologists and life scientists, beckoning them to explore the realm of ... Leer más

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  • Mathematical Methods in Data Science

    Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors' recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ... Leer más

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  • Data-Driven Fault Detection and Reasoning for Industrial Monitoring

    Series Libro 3 - Intelligent Control and Learning Systems
    This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and ... Leer más

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  • Multivariate Statistical Process Control

    Process Monitoring Methods and Applications

    Series series Engineering (R0)
    Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help ... Leer más

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  • Anomaly Detection Principles and Algorithms

    Series series Computer Science (R0)
    This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses.The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and ... Leer más

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  • Optimization in Science and Engineering

    In Honor of the 60th Birthday of Panos M. Pardalos

    Series series Mathematics and Statistics (R0)
    Optimization in Science and Engineering is dedicated in honor of the 60th birthday of Distinguished Professor Panos M. Pardalos. Pardalos’s past and ongoing work has made a significant impact on several theoretical and applied areas in modern optimization. As tribute to the diversity of Dr. Pardalos’s work in Optimization, this book comprises a collection of contributions from experts in various ... Leer más

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  • Applied Reliability Engineering and Risk Analysis

    Probabilistic Models and Statistical Inference

    Series series Quality and Reliability Engineering Series
    This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris ... Leer más

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  • Handbook of Big Data Analytics

    Series series Mathematics and Statistics (R0)
    Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful ... Leer más

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  • Forging Connections between Computational Mathematics and Computational Geometry

    Papers from the 3rd International Conference on Computational Mathematics and Computational Geometry

    Edición de Ke Chen, Anton Ravindran ...
    Series series Springer Nature Proceedings excluding Computer Science
    This volume presents original research contributed to the 3rd Annual International Conference on Computational Mathematics and Computational Geometry (CMCGS 2014), organized and administered by Global Science and Technology Forum (GSTF). Computational Mathematics and Computational Geometry are closely related subjects, but are often studied by separate communities and published in different venues ... Leer más

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  • Proceedings of the Second International Forum on Financial Mathematics and Financial Technology

    Edición de Zhiyong Zheng ...
    Series series Springer Nature Proceedings excluding Computer Science
    This open access book is the documentary of the Second International Forum on Financial Mathematics and Financial Technology, with focus on selected aspects of the current and upcoming trends in FinTech. In detail, the included scientific papers cover financial mathematics and FinTech, presenting the innovative mathematical models and state-of-the-art technologies such as deep learning, with the ... Leer más

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  • Optimal Learning

    Series Libro 841 - Wiley Series in Probability and Statistics
    Learn the science of collecting information to make effective decisionsEveryday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book ... Leer más

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