America Reads


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The Bookman's Manual


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Time


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Bookman's Manual


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The Odyssey of Homer - Scholar's Choice Edition


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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.




Reading Vampire Gothic Through Blood


Book Description

Reading Vampire Gothic Through Blood examines the manifestations of blood and vampires in various texts and contexts. It seeks to connect, through blood, fictional to real-life vampires to trace similarities, differences and discontinuities. These movements will be seen to parallel changing notions about embodiment and identity in culture.







The Reader's Adviser


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Big Data Analytics for Cyber-Physical System in Smart City


Book Description

This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.