This book provides a comprehensive review and in-depth study on efficient beamforming design and rigorous performance analysis in mmWave networks, covering beam alignment, beamforming training and beamforming-aided caching. Due to significant beam alignment latency between the transmitter and the receiver in existing mmWave systems, this book proposes a machine learning based beam alignment algorithm for mmWave networks to determine the optimal beam pair with a low latency. Then, to analyz...

This book summarizes years of research in the field of fuzzy relational programming, with a special emphasis on geometric models. It discusses the state-of-the-art in fuzzy relational geometric problems, together with key open issues that must be resolved to achieve a more efficient application of this method. Though chiefly based on research conducted by the authors, who were the first to introduce fuzzy geometric problems, it also covers important findings obtained in the field of linear...

This brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind turbines, and power grids. It provides a detailed overview of methods for signal denoising and pattern recognition, covering techniques like wavelet transform, empirical mode decomposition, permutation entropy, and deep learning models. Through real-world engineering case studies, the book...

This book focuses on supply chain management, specifically resilience modeling and recovery strategies for disruptions. It combines multi-level analysis (system, product, event, network) with practical tools such as knowledge graphs, optimization techniques, and risk management frameworks. Key features include a structured, visual approach to complex concepts and multiple recovery dimensions (short-term fixes, product redesign, hierarchical optimization, control support). Blending theory w...

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization can bridge the gap between complex models or algorithms and human understanding while also facilitating data curation and model refinement. Therefore, visualization for artificial intelligence (VIS4AI) has become an emerging area that combines interactive visualization with machine learning ...

Flexible Batteries highlights the key advances in flexible batteries, a booming new direction in the energy storage field.The authors first introduce lithium-ion batteries, which are currently the most widely used batteries. Flexible aqueous batteries such as aqueous lithium-ion, sodium-ion, and zinc-ion batteries are discussed subsequently due to the safety concerns in organic electrolytes. Since flexible metal-air batteries are recognized as primary choices for t...

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Loquat (Eriobotrya japonica Lindl.) is a subtropical evergreen fruit tree indigenous to China. Records show it has been cultivated in China for over 2000 years. From this beginning, loquat has spread to more than 30 countries around the world. Grown in various regions of Asia, the Mediterranean and across the Americas, loquats suit both temperate and subtropical areas, sharing the same environmental conditions as citrus. Loquat is an increasingly commercial crop in some Asian and European ...

The highly anticipated next book in Tuttle's Stories for Language Learners series is here!This book presents 22 classic Chinese proverbs and the traditional tales behind them. The stories are bilingual, with the Chinese and English versions presented on facing pages. Each includes an explanation of how the proverb is used today, cultural notes, vocabulary and discussion questions. Online audio recordings of the tales by native speakers give students a chan...

The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the control of systems with time-varying delays, the...

This book provides readers a complete and self-contained set of knowledge about dependent source separation, including the latest development in this field. The book gives an overview on blind source separation where three promising blind separation techniques that can tackle mutually correlated sources are presented. The book further focuses on the non-negativity based methods, the time-frequency analysis based methods, and the pre-coding based methods, respectively.

Provides a comprehensive overview of the wealth of research on analysing, understanding and optimising the nutraceutical properties of fruit and vegetables, focussing primarily on phytochemicals/phytochemical compoundsReviews the current research on mechanisms of action and the potential role of key phytochemical compounds, such as antioxidants and flavonoids, in preventing the onset of chronic diseasesExplores current advances in understanding and improving the n...