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High-Speed Railways and New Structure of Socio-economic Development in China
This book systematically expounds the significance of the high-speed railway in China's regional economic and social development. It also contains a large number of case discussions, so that readers can fully understand the development of China's high-speed railway and its role in promoting China's economy. The purpose of this book is to determine whether high-speed railway has important political and strategic significance for China's development, the inherent relationship and mechanism of the high-speed railway together with economic and social development, and how to achieve the high-speed rail and economic and social coordination, as well as sustainable development.
Federated Learning: From Algorithms To System Implementation
Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a founda...
Mechatronics and Automation Technology
With the development of science and technology, mechatronics and automation have changed the face of the traditional machinery manufacturing industry and become an important aspect of information technology and modern industrial production, with a huge impact in many diverse fields such as manufacturing, robotics, automation, the automobile industry and biomedicine. This book contains the proceedings of ICMAT 2022, the 2022 International Conference on Mechatronics and Automation Technology, held as a virtual event due to restrictions related to the COVID-19 pandemic, and hosted in Wuhan, China on 29 and 30 October 2022. The ICMAT conference is an ideal platform for bringing together research...
Protomusic: The role of Prosodic Modulation in the Emergence of Language
Anastasi introduces an alternative vision about language development and music involvement to the current scientific discourse. Her view is based on a rigorous evolutionary perspective, through which she not only demonstrates the hypothesis of vocal continuity with other species via morphological data but, more importantly, also demonstrates how music is first and foremost a biological and cognitive trait. The bond between animal and human communication is here interpreted as an interspecific universal with a clear evolutionary impact on the speech’s natural history. Such continuity does not undermine the species-specificity of our linguistic system and, at the same time, supports the theo...
Self-Organized Biological Dynamics and Nonlinear Control
The growing impact of nonlinear science on biology and medicine is fundamentally changing our view of living organisms and disease processes. This book introduces the application to biomedicine of a broad range of interdisciplinary concepts from nonlinear dynamics, such as self-organization, complexity, coherence, stochastic resonance, fractals and chaos. It comprises 18 chapters written by leading figures in the field and covers experimental and theoretical research, as well as the emerging technological possibilities such as nonlinear control techniques for treating pathological biodynamics, including heart arrhythmias and epilepsy. This book will attract the interest of professionals and students from a wide range of disciplines, including physicists, chemists, biologists, sensory physiologists and medical researchers such as cardiologists, neurologists and biomedical engineers.
Artificial Intelligence and Knowledge Processing
Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various appli...
Focal Impulse Theory
Music is surrounded by movement, from the arching back of the guitarist to the violinist swaying with each bow stroke. To John Paul Ito, these actions are not just a visual display; rather, they reveal what it really means for musicians to move with the beat, organizing the flow of notes from beat to beat and shaping the sound produced. By developing "focal impulse theory," Ito shows how a performer's choices of how to move with the meter can transform the music's expressive contours. Change the dance of the performer's body, and you change the dance of the notes. As Focal Impulse Theory deftly illustrates, bodily movements carry musical meaning and, in a very real sense, are meaning.
Who's Bigger?
In this fascinating book, Steve Skiena and Charles Ward bring quantitative analysis to bear on ranking and comparing historical reputations by aggregating the traces of millions of opinions, just as Google ranks webpages. They present rankings of more than one thousand of history's most significant people in science, politics, entertainment, and all areas of human endeavor.
Artificial Neural Networks as Models of Neural Information Processing
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
Cyber Security Intelligence and Analytics
This book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online.
