Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.
This book studies three female Chinese intellectuals in the first half of the 20th century, namely Feng Yuanjun, Lu Yin, and Cheng Junying, the first graduates of Beijing Female Higher Normal College, which was the first-ever national higher educational institution for women in modern China. Combining narrative inquiry, life history, oral history, and psychohistory methods, it comprehensively explores the specific developmental paths and mental processes of the post-May Fourth female intellectuals, and examines the complex interrelationships between various factors including social, academic, gender, and educational evolution in the first half of the 20th century, and the emergence of modern Chinese female intellectuals. The book is highly recommended for all scholars, undergraduate and graduate students of modern Chinese history, gender and women’s studies, history of education, history of higher education, etc., and for all those who are interested in female Chinese intellectuals.
This book reports on recent applications in biology and geoscience. Among them we mention the application of wavelet transforms in the treatment of EEG signals, the dimensionality reduction of the gait recognition framework, the biometric identification and verification. The book also contains applications of the wavelet transforms in the analysis of data collected from sport and breast cancer. The denoting procedure is analyzed within wavelet transform and applied on data coming from real world applications. The book ends with two important applications of the wavelet transforms in geoscience.
Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.
This book studies three female Chinese intellectuals in the first half of the 20th century, namely Feng Yuanjun, Lu Yin, and Cheng Junying, the first graduates of Beijing Female Higher Normal College, which was the first-ever national higher educational institution for women in modern China. Combining narrative inquiry, life history, oral history, and psychohistory methods, it comprehensively explores the specific developmental paths and mental processes of the post-May Fourth female intellectuals, and examines the complex interrelationships between various factors including social, academic, gender, and educational evolution in the first half of the 20th century, and the emergence of modern Chinese female intellectuals. The book is highly recommended for all scholars, undergraduate and graduate students of modern Chinese history, gender and women’s studies, history of education, history of higher education, etc., and for all those who are interested in female Chinese intellectuals.
Consensus Tracking of Multi-agent Systems with Switching Topologies takes an advanced look at the development of multi-agent systems with continuously switching topologies and relay tracking systems with switching of agents. Research problems addressed are well defined and numerical examples and simulation results are given to demonstrate the engineering potential. The book is aimed at advanced graduate students in control engineering, signal processing, nonlinear systems, switched systems and applied mathematics. It will also be a core reference for control engineers working on nonlinear control and switched control, as well as mathematicians and biomedical engineering researchers working on complex systems. Discusses key applications and the latest advances in distributed consensus tracking methods Offers a clear and comprehensive overview on the recent development of multi-agent systems with switching topologies Offers graduate students and beginning engineers a core reference on complex systems analysis and cooperative control
Control-theoretic Methods for Cyber-Physical Security presents novel results on security and defense methodologies applied to cyber-physical systems. This book adopts the viewpoint of control and game theories, modelling these autonomous platforms as dynamical systems and proposing algorithmic frameworks that both proactively and reactively shield the system against catastrophic failures. The algorithms presented employ model-based and data-driven techniques to security, ranging from model-free detection mechanisms to unpredictability-based defense approaches. This book will be a reference to the research community in identifying approaches to security that go beyond robustification techniques and give attention to the tight interplay between the physical and digital devices of the system, providing algorithms that can be readily used in a variety of application domains where the systems are subject to different kinds of attacks. Serves as a bibliography on different aspects of security in cyber-physical systems Offers insights into security through innovative approaches, which amalgamate principles from diverse disciplines Explores unresolved challenges in the security domain, examining them through the lens of rigorous formulations from control and game theory
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