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  • Book

  • Multimedia Big Data Computing for IoT Applications

    • Authors: Sudeep Tanwar (2020)

  • This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
  • Book

  • Mathematical foundations of computer networking

    • Authors: Srinivasan Keshav (2012)

  • Mathematical techniques pervade current research in computer networking, yet are not taught to most computer science undergraduates. This self-contained, highly-accessible book bridges the gap, providing the mathematical grounding students and professionals need to successfully design or evaluate networking systems. The only book of its kind, it brings together information previously scattered amongst multiple texts. It first provides crucial background in basic mathematical tools, and then illuminates the specific theories that underlie computer networking. Coverage includes: * Basic probability * Statistics * Linear Algebra * Optimization * Signals, Systems, and Transforms, including Fourier series and transforms, Laplace transforms, DFT, FFT, and Z transforms * Queuing theory * G...
  • Book

  • Speech and Language Processing

    • Authors: Daniel Jurafsky (2007)

  • For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and langua...
  • Book

  • Communication systems : an introduction to signals and noise in electrical communication

    • Authors: A. Bruce Carlson (2010)

  • Phiên bản cải tiến này của Hệ thống Truyền thông, một văn bản cổ điển trong lĩnh vực truyền thông, giới thiệu về các hệ thống truyền thông điện, bao gồm các phương pháp phân tích, nguyên tắc thiết kế và cân nhắc phần cứng. Ấn bản thứ năm đã được cập nhật để phản ánh công nghệ hiện tại bao gồm cả truyền thông tương tự và kỹ thuật số trong lĩnh vực luôn phát triển này. Các câu hỏi khái niệm / mô tả / tư duy đã được thêm vào trong cuốn sách cũng như câu hỏi của MATLAB (R) và thuyết trình tệp Powerpoint trên trang web. Cuốn sách bao gồm cả truyền thông tương tự và số. Có ví dụ và bài tập cho sinh viên để giải quyết trong các chương, giúp họ nắm vững các khái niệm mới .
  • Book

  • Communication Systems

    • Authors: Michael Moher (2009)

  • This book include the most comprehensive and rigorous coverage of digital communications in an undergraduate level text in this Fifth Edition. In addition to being the most up-to-date communications text available, Simon Haykin has reintroduced features and coverage that have made this text a best-seller. Haykin now features equal and thorough coverage of both analog and digital material.
  • Book

  • Data mining: concepts and techniques

    • Authors: Jiawei Han (2022)

  • Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD.
  • Book

  • Data Warehouse Toolkit : The Definitive Guide To Dimensional Modeling

    • Authors: Ralph Kimball (2013)

  • The book is organized around a series of business vignettes or case studies. We believe developing the design techniques by example is an extremely eff ective approach because it allows us to share very tangible guidance and the benefi ts of real world experience.
  • Book

  • The data warehouse ETL toolkit

    • Authors: Ralph Kimball (2004)

  • The Data Warehouse ETL Toolkit is a practical guide for building successful ETL systems. This book is not a survey of all possible approaches! Rather, we build on a set of consistent techniques for delivery of dimensional data. Dimensional modeling has proven to be the most predictable and cost ef- fective approach to building data warehouses. At the same time, because the dimensional structures are the same across many data warehouses, we can count on reusing code modules and specific development logic.
  • Book

  • Data-Driven Intelligence in Wireless Networks

    • Authors: - (2003)

  • This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to perfor- mance, security, and social networking), and provides solutions using various data- driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence.