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  • Book


  • Authors: John G. Proakis (1996)

  • Presents the fundamentals of discrete-time signals, systems, and modern digital processing algorithms and applications for students in electrical engineering, computer engineering, and computer science. Textbook. DLC: Signal processing - Digital techniques

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  • Authors: Holger Karl (2005)

  • Includes bibliographical references (p. [437]-480) and index. Learn all you need to know about wireless sensor networks! Protocols and Architectures for Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless sensor networks. The authors give an overview of the state-of-the-art, putting all the individual solutions into perspective with one and other. Numerous practical examples, case studies and illustrations demonstrate the theory, techniques and results presented. The clear chapter structure, listing learning objectives, outline and summarizing key points, help guide the reader expertly through the material. Protocols and Architectures for Wireless Sensor Networks : Covers architecture and communications protocols in detail with practical imp...

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  • Authors: Paul Deitel (2019)

  • Java How to Program, Late Objects, 11th Edition, presents leading-edge computing technologies using the Deitel signature live-code approach, which demonstrates concepts in hundreds of complete working programs. The 11th Edition presents updated coverage of Java SE 8 and new Java SE 9 capabilities, including JShell, the Java Module System, and other key Java 9 topics.

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  • Authors: Andrew Tanenbaum (2021)

  • The 6th Edition is updated throughout to reflect the mostcurrent technologies, and the chapter on network security is rewritten to focuson modern security principles and actions.

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  • Authors: James F. Kurose (2013)

  • Computer Networking continues with an early emphasis on application-layer paradigms and application programming interfaces (the top layer), encouraging a hands-on experience with protocols and networking concepts, before working down the protocol stack to more abstract layers. This book has become the dominant book for this course because of the authors' reputations, the precision of explanation, the quality of the art program, and the value of their own supplements

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  • Authors: Edward Angel (2020)

  • This book is suitable for advanced undergraduates and first-year graduate students in computer science and engineering and for students in other disciplines who have good programming skills.

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  • Authors: Vũ Hữu Tiệp (2018)

  • Hướng dẫn các bạn trẻ làm quen các khái niệm, kỹ thuật và thuật toán cơ bản cho các bài toán Học máy (ML). Những khái niệm cơ bản trong ML, xây dựng các mô hình ML, các thuật toán ML phổ biến như mạng neuron nhân tạo, kỹ thuật tối ưu phổ biến cho các bài toán tối ưu không ràng buộc

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  • Authors: Wolfgang Ertel (2017)

  • This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.