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Authors: Trịnh Bình (2021) - Những kiến thức về mô học đại cương: biểu mô, mô liên kết, mô cơ, mô thần kinh. Mô học hệ cơ quan: hệ tuần hoàn, bạch huyết - miễn dịch, da, hô hấp, tiêu hoá, tiết niệu, nội tiết..
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Authors: Dương Thị Cương (2020) - Giới thiệu những nét cơ bản của môn Phụ sản. Sự thụ tinh, sự làm tổ và phát triển của trứng. Quá trình thai nghén và sinh lí chuyển dạ. Bệnh lí học thai nghén. Các đặc điểm sinh lí học và sinh lí học phụ khoa
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Authors: M. Tamer Özsu (2020) - The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been update
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Authors: Yale N. Patt (2020) - Các kiến thức cơ bản về khoa học máy tính: Cấu trúc của máy tính; Chương trình; Ngôn ngữ lập trình và cách cài đặt ngôn ngữ lập trình
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Authors: Kyle Klein; Laurie Klein (2020) - Learn to previsualize invisible-to-the-eye light and use a modified digital camera to capture those wavelengths and produce moody, otherworldly portraits, still lifes, landscapes, animal portraits, and more
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Authors: Jim Ledin (2022) - This book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction pipelines. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and write a quantum computing program and run it on an actual quantum computer.
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Authors: François Chollet (2021) - Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep learning with Python, second edition" introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustratio...
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Authors: Perry Lea (2022) - This book encompasses the entire spectrum of IoT solutions, from sensors to the cloud. We start by examining modern sensor systems and focus on their power and functionality. After that, we dive deep into communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, we explore IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. Next, we cover edge routing and gateways and their role in fog computing, as well as the messaging protocols of MQTT and CoAP.
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Authors: James F. Kurose; Keith Ross (2020) - Unique among computer networking texts, the 8th Edition of the popular Computer Networking: A Top Down Approach builds on the authors' long tradition of teaching this complex subject through a layered approach in a top-down manner. The text works its way from the application layer down toward the physical layer, motivating students by showing them important concepts early in their study of networking.
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Authors: Suhel Ahmad Khan (2022) - "This book cover data processing, engineering, forensics, computer science and information technology in perspective of wireless communication. It will an ideal text for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering"
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