الصفحة 1
الصفحة 1
Data mining : Concepts, models, methods, and algorithms ; 3rd ed.
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces. Explores big data and cloud computing Examines deep learning Includes information on convolutional neural networks (CNN) Offers reinforcement learning Contains semi-supervised learning and S3VM Reviews model evaluation for unbalanced data
Converged communications : Evolution from telephony to 5G mobile internet
The central theme of the book is to build deeper understanding about incremental technological progress by introducing both state of the art and their predecessor technologies. The book explores four main areas, including fixed telephone systems, data communication systems, mobile cellular systems, and IP multimedia systems. It clearly explains architectures, protocols, and functional procedures, and discusses a variety of topics ranging from physical layer processes to system level interactions. Converged Communications offers: In-depth treatments of fixed telephone and transmission systems, including operation of telephone exchanges and signaling systems Comprehensive explorations of data communication systems, including transmission of data over telephone lines and data network technologies, such as Ethernet and TCP/IP Incisive discussions of mobile cellular systems, including GSM, 3G, LTE, VoLTE and 5G Insightful analysis of incremental system evolution to justify various design choices made The book is supported with extensive online appendices, which covers communication system concepts, an overview of standardization, various technologies used in the past, state-of-the art technologies such as WLAN, cable modems, and FTTx, complementing the other systems described in the book which have evolved from the fixed telephone network.
Management of Data Center Networks
Delivers a rigorous and insightful exploration of the network management challenges that present within intra- and inter-data center networks, including reliability, routing, and security. The book also discusses new architectures found in data center networks that aim to minimize the complexity of network management while maximizing Quality of Service, like Wireless/Wired DCNs, server-only DCNs, and more. offers: A thorough overview of the architectures of data center networks, including the classification of switch-centric, server-centric, enhanced, optical, and wireless DCN architectures An exploration of resource management in wired and wireless data center networks, including routing and wireless channel allocation and assignment challenges and criteria Practical discussions of inter-data center networks, including an overview of basic virtual network embedding Examinations of energy and security management in data center networks
Artificial intelligence hardware design : Challenges and solutions
Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field. A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition
