Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Machine Learning and Wireless Communications
How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.
Machine Learning and Wireless Communications
Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.
Age of Information
A comprehensive treatment of Age of Information, this cutting-edge text includes detailed exposition and real-world applications.
Privacy in Dynamical Systems
This book addresses privacy in dynamical systems, with applications to smart metering, traffic estimation, and building management. In the first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic privacy (e.g., using privacy metrics motivated by mutual information, relative entropy, and Fisher information) with provable guarantees. In the second part, it investigates the use of homomorphic encryption for the implementation of control laws over encrypted numbers to support the development of fully secure remote estimation and control. Chiefly intended for graduate students and researchers, the book provides an essential overview of the latest developments in privacy-aware design for dynamical systems.
Advanced Data Analytics for Power Systems
Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.
Information Theory for Data Communications and Processing
Modern, current, and future communications/processing aspects motivate basic information-theoretic research for a wide variety of systems for which we do not have the ultimate theoretical solutions (for example, a variety of problems in network information theory as the broadcast/interference and relay channels, which mostly remain unsolved in terms of determining capacity regions and the like). Technologies such as 5/6G cellular communications, Internet of Things (IoT), and mobile edge networks, among others, not only require reliable rates of information measured by the relevant capacity and capacity regions, but are also subject to issues such as latency vs. reliability, availability of s...
Rediscovering Kurdistan’s Cultures and Identities
Rediscovering Kurdistan’s Cultures and Identities: The Call of the Cricket offers insight into little-known aspects of the social and cultural activity and changes taking place in different parts of Kurdistan (Turkey, Iraq, Syria and Iran), linking different theoretical approaches within a postcolonial perspective. The first chapter presents the book’s approach to postcolonial theory and gives a brief introduction to the historical context of Kurdistan. The second, third and fourth chapters focus on the Kurdish context, examining ethical changes as revealed in Kurdish literary and cinema narratives, the socio-political role of the Kurdish cultural institutions and the practices of countering othering of Kurdish migrants living in Istanbul. The fifth chapter offers an analysis of the nineteenth-century missionary translations of the Bible into the Kurdish language. The sixth chapter examines the formation of Chaldo-Assyrian identity in the context of relations with the Kurds after the overthrow of the Ba’ath regime in 2003. The last chapter investigates the question of the Yezidis’ identity, based on Yezidi oral works and statements about their self-identification.
Securing Wireless Communications at the Physical Layer
This book focuses specifically on physical layer security, a burgeoning topic in security. It consists of contributions from the leading research groups in this emerging area, and for the first time important high-impact results are collected together.
Integration of MTC and Satellites for IoT toward 6G Era
Comprehensive and authoritative resource paving the way for the integration of machine-type communications (MTC) and satellite connectivity toward 6G era This book focuses on the integration of machine-type communications (MTC) and satellite connectivity toward the 6th generation of mobile systems (i.e., the “6G”). Integrating these two technologies, especially within the emerging direct-to-satellite (DtS) concept employing direct connectivity between an MTC terminal and a satellite-based gateway, will be critical in enabling the future Internet of Things (IoT) applications in remote areas with limited connectivity infrastructure available. To this end, the book delivers an in-depth anal...
Machine Learning on Commodity Tiny Devices
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of...
