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Livros sobre o tema "Communications de type machine"

Autor: Grafiati

Publicado: 15 de março de 2025

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1

Wang, Fanggang, e Guoyu Ma. Massive Machine Type Communications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13574-4.

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2

Wang, Michael Mao, e Jingjing Zhang. Machine-Type Communication for Maritime Internet-of-Things. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77908-5.

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3

Jiang, Xiaolin, ed. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04409-0.

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4

Meng, Limin, e Yan Zhang, eds. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00557-3.

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5

Gu, Xuemai, Gongliang Liu e Bo Li, eds. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73447-7.

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6

Gu, Xuemai, Gongliang Liu e Bo Li, eds. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73564-1.

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7

Xin-lin, Huang, ed. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52730-7.

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8

Zhai, Xiangping Bryce, Bing Chen e Kun Zhu, eds. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32388-2.

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9

Guan, Mingxiang, e Zhenyu Na, eds. Machine Learning and Intelligent Communications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66785-6.

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10

Lam, Sinh Cong, Chiranji Lal Chowdhary, Tushar Hrishikesh Jaware e Subrata Chowdhury. Machine Learning for Mobile Communications. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003306290.

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11

Boswarthick, David, e Omar Elloumi. M2M communications: A systems approach. Hoboken, N.J: Wiley, 2012.

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12

Agrawal, S. S., Amita Devi, Ritika Wason e Poonam Bansal, eds. Speech and Language Processing for Human-Machine Communications. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6626-9.

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13

Gottschall, Edward M. Typographic communications today. New York, NY: International Typeface Co., 1989.

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14

inc, International Resource Development, ed. Integrated image communications in office automation. New Canaan, Conn., U.S.A. (P.O. Box 1716, New Canaan 06840): International Resource Development, 1990.

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15

Chu, Tae-yŏng. Ch'oyŏn'gyŏl sidae samul int'onet (IoT) ŭi ch'angjojŏk yunghap hwalsŏnghwa pangan. Sŏul T'ŭkpyŏlsi: Sanŏp Yŏn'guwŏn, 2014.

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16

Buyya, Rajkumar, Sudip Misra, Yiu-Wing Leung e Ayan Mondal, eds. Proceedings of International Conference on Advanced Communications and Machine Intelligence. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2768-5.

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17

Peng, Sheng-Lung, Ayan Mondal, Venkateswara Rao Kagita e Joy Lal Sarkar, eds. Proceedings of International Conference on Advanced Communications and Machine Intelligence. Singapore: Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6222-4.

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18

Ellis, Warren. Gun machine. Waterville, Maine: Thorndike Press, A part of Gale, Cengage Learning, 2013.

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19

Cavicchio, Federica, e Emanuela Magno Caldognetto, eds. Aspetti emotivi e relazionali nell'e-learning. Florence: Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-833-8.

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This book investigates the role of emotions and multimodal communication in face-to-face teaching and in e-learning, and assesses the incidence of these not merely verbal components on the cognitive processes of the student. It also presents certain types of man-machine interface that utilise natural language in written, vocal and multimodal form; the latter implement a new metaphor of interaction with the computer that is more human-oriented. This is, therefore, a new and interdisciplinary theme of research that highlights the technical and theoretical complexity that e-learning specialists and scholars of multimodal communication and emotions address in order to devise new systems of human-computer communication that are more natural and more motivating for learning.

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20

Germany) ITG-Fachtagung "Mobile Kommunikation" (19th 2014 Osnabrück. Mobilkommunikation: Technologien und Anwendungen : Vorträge der 19. ITG-Fachtagung vom 21. bis 22. Mai 2014 in Osnabrück. Berlin: VDE Verlag GmbH, 2014.

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21

Hart, Beth Webb. The wedding machine. Thorndike, Me: Center Point Pub., 2008.

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22

Hart, Beth Webb. The Wedding Machine. Nashville, Tenn: Thomas Nelson, 2007.

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23

Hart, Beth Webb. The Wedding Machine. Nashville, Tenn: Thomas Nelson, 2007.

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24

Phillips, Jayne Anne. Machine dreams. New York: Pocket Books, 1991.

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25

Phillips, Jayne Anne. Machine dreams. Boston, Mass: G.K. Hall, 1985.

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26

Phillips, Jayne Anne. Machine dreams. London: Faber and Faber, 1985.

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27

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Speech analysis and synthesis and man-machine speech communications for air operations. Neuilly sur Seine, France: AGARD, 1990.

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28

Advisory Group for Aerospace Research and Development. Avionics Panel. e Advisory Group for Aerospace Research and Development. Consultant and Exchange Programme., eds. Speech analysis and synthesis and man-machine speech communications for air operations. Neuilly sur Seine: Agard, 1990.

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29

Wang, Fanggang, e Guoyu Ma. Massive Machine Type Communications: Multiple Access Schemes. Springer, 2019.

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30

Brummett, Barry. Rhetoric of Machine Aesthetics. Praeger, 1999. http://dx.doi.org/10.5040/9798216008637.

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Brummett addresses the question of how the aesthetic experience of machines can have rhetorical influence. He develops a theory of machine aesthetics, showing nine dimensions of the aesthetic experience of machines and machine-like objects or activities. He identifies three general types of machine aesthetics: Mechtech, classical machine aesthetics based on hardware, gears, pistons, and so forth; Electrotech, high technology machine aesthetics based on the ability of electricity to put machinery on the human scale; and Chaotech, the aesthetic appeal of the decayed machine. In each case, rhetorical applications of the aesthetic are explored. A final critical application shows how the filmBrazilwarns its audience that fascism can be supported by simulations based on machine aesthetics. Brummett's book develops and articulates ideas in the fields of rhetoric and literature that have not been brought together before. In a radical departure, Brummett sees machines not as passive backdrops to human intercourse, but rather as possessing a powerful rhetoric of their own. The book will be of great interest to scholars and students of communications, art, and aesthetics.

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31

Zhang, Jingjing, e Michael Wang. Machine-Type Communication for Maritime Internet-Of-Things. Springer International Publishing AG, 2021.

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32

Wang, Michael Mao, e Jingjing Zhang. Machine-Type Communication for Maritime Internet-Of-Things: From Concept to Practice. Springer International Publishing AG, 2022.

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33

Misic, Vojislav B., e Jelena Misic, eds. Machine-to-Machine Communications. CRC Press, 2014. http://dx.doi.org/10.1201/b17141.

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34

Misic, Jelena, e Vojislav B. Misic. Machine-To-Machine Communications. Taylor & Francis Group, 2015.

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35

Machine-to-machine (M2M) Communications. Elsevier, 2015. http://dx.doi.org/10.1016/c2013-0-16459-8.

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36

Hersent, Olivier, David Boswarthick e Omar Elloumi. M2m Communications. Wiley & Sons, Incorporated, John, 2012.

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37

Anton-Haro, C., e M. Dohler. Machine-To-machine Communications: Architecture, Performance and Applications. Elsevier Science & Technology, 2014.

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38

Dohler, Mischa, e Carles Anton-Haro. Machine-to-Machine Communications: Architecture, Performance and Applications. Elsevier Science & Technology, 2015.

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39

Eldar, Yonina C., Andrea Goldsmith, Deniz Gündüz e H. Vincent Poor, eds. Machine Learning and Wireless Communications. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108966559.

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How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.

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40

Gündüz, Deniz, Yonina C. Eldar, H. Vincent Poor e Andrea Goldsmith. Machine Learning and Wireless Communications. Cambridge University Press, 2022.

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41

Machine Learning and Wireless Communications. Cambridge University Press, 2022.

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42

Lam, Sinh Cong, e Tushar Hrishikesh Jaware. Machine Learning for Mobile Communications. Taylor & Francis Group, 2024.

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43

Lam, Sinh Cong, e Tushar Hrishikesh Jaware. Machine Learning for Mobile Communications. Taylor & Francis Group, 2024.

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44

Lam, Sinh Cong, e Tushar Hrishikesh Jaware. Machine Learning for Mobile Communications. Taylor & Francis Group, 2024.

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45

Speech communications: Human and machine. 2^a ed. New York: Institute of Electrical and Electronics Engineers, 1999.

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46

Misic, Jelena, e Vojislav B. Misic. Machine-To-Machine Communications: Architectures, Technology, Standards, and Applications. Taylor & Francis Group, 2014.

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47

Misic, Jelena, e Vojislav B. Misic. Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications. Taylor & Francis Group, 2017.

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48

Misic, Jelena, e Vojislav B. Misic. Machine-To-Machine Communications: Architectures, Technology, Standards, and Applications. Taylor & Francis Group, 2014.

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49

Machine-To-Machine Communications: Architectures, Technology, Standards, and Applications. Taylor & Francis Group, 2014.

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50

Hersent, Olivier, David Boswarthick e Omar Elloumi. M2M Communications: A Systems Approach. Wiley & Sons, Limited, John, 2012.

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