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Books on the topic 'Deep learning technology'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

author, Prous Jaime, Bras, Michel, writer of foreword, Cuchi, Albert, writer of foreword, McDonah Eamonn translator, and Hormaeche Virginia translator, eds. Deep skin: Learning architecture + technology. Fundació Alumilux, 2018.

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2

V, Subramaniyaswamy, G. Revathy, Logesh Ravi, N. Thillaiarasu, and Naresh Kshetri. Deep Learning and Blockchain Technology for Smart and Sustainable Cities. Auerbach Publications, 2025. https://doi.org/10.1201/9781003476047.

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3

Feichtinger, Paul Christoph. Deep Learning: AI Technology. Independently Published, 2019.

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4

Lee, Sukho, and Dae-Ki Kang, eds. Deep Learning Technology and Image Sensing. MDPI, 2024. https://doi.org/10.3390/books978-3-7258-2814-2.

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5

Zefs Guide to Deep Learning. Zefs Publishing, 2022.

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6

Hassanien, Aboul Ella, Vaclav Snasel, B. K. Tripathy, Siddhartha Bhattacharyya, and Satadal Saha. Deep Learning: Research and Applications. de Gruyter GmbH, Walter, 2020.

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7

Hassanien, Aboul Ella, Vaclav Snasel, B. K. Tripathy, Siddhartha Bhattacharyya, and Satadal Saha. Deep Learning: Research and Applications. de Gruyter GmbH, Walter, 2020.

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8

Deep Learning: Research and Applications. de Gruyter GmbH, Walter, 2020.

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9

Hackworth, Gregorio. Deep Learning Revolutionize : Transform Our Technology and Ultimately Our Civilization: Introduction to Deep Learning Medium. Independently Published, 2021.

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10

Deep Learning in Biometrics. Taylor & Francis Group, 2023.

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11

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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12

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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13

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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14

Majumdar, Angshul, Richa Singh, and Mayank Vatsa. Deep Learning in Biometrics. Taylor & Francis Group, 2018.

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15

Deep Learning in Biometrics. CRC Press, 2018.

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16

Awad, Ali Ismail, and Mahmoud Hassaballah. Deep Learning in Computer Vision. Taylor & Francis Group, 2021.

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17

Deep Learning in Computer Vision. Taylor & Francis Group, 2020.

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18

Blanchard, Robert. Deep Learning for Computer Vision with SAS: An Introduction. SAS Institute, 2020.

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19

Farsley, Christian. Artificial Intelligence: Ai Technology and Deep Learning Systems Explained. Independently Published, 2019.

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20

Donald, Harris. Artificial Intelligence: A Beginners Guide to Deep Learning Technology. Independently Published, 2021.

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21

Many-Sorted Algebras for Deep Learning and Quantum Technology. Elsevier Science & Technology, 2024.

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22

Many-Sorted Algebras for Deep Learning and Quantum Technology. Elsevier Science & Technology Books, 2024.

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23

Tani, Dale. Machine Learning Examples : the Benefits Technology Machine: Neural Networks and Deep Learning. Independently Published, 2021.

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24

Long, Debra, Keith K. Millis, Joseph Magliano, and Katja Wiemer. Deep Comprehension. Taylor & Francis Group, 2018.

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25

Deep Comprehension. Taylor & Francis Group, 2018.

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26

Blanchard, Robert. Deep Learning for Computer Vision with SAS®: An Introduction. SAS Institute, 2020.

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27

Ai and Deep Learning in Biometric Security. Taylor & Francis Group, 2021.

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28

Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Taylor & Francis Group, 2021.

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29

Michalas, Antonis, Narendra Shekokar, Meera Narvekar, Ramchandra Sharad Mangrulkar, and Pallavi Vijay Chavan. Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Taylor & Francis Group, 2021.

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30

Michalas, Antonis, Narendra Shekokar, Meera Narvekar, Ramchandra Sharad Mangrulkar, and Pallavi Vijay Chavan. Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Taylor & Francis Group, 2021.

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31

Michalas, Antonis, Narendra Shekokar, Meera Narvekar, Ramchandra Sharad Mangrulkar, and Pallavi Vijay Chavan. Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Taylor & Francis Group, 2021.

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32

Huff, Stephen. Graph Models for Deep Learning: An Executive Review of Hot Technology. Independently Published, 2018.

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33

Kavitha, T., G. Senbagavalli, Deepak Jain, Deepika Koundal, and Yanhui Guo. Convergence of Deep Learning and Internet of Things: Computing and Technology. IGI Global, 2022.

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34

Kavitha, T., G. Senbagavalli, Deepak Jain, Deepika Koundal, and Yanhui Guo. Convergence of Deep Learning and Internet of Things: Computing and Technology. IGI Global, 2022.

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35

Kavitha, T., G. Senbagavalli, Deepak Jain, Deepika Koundal, and Yanhui Guo. Convergence of Deep Learning and Internet of Things: Computing and Technology. IGI Global, 2022.

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36

Kavitha, T., G. Senbagavalli, Deepak Jain, Deepika Koundal, and Yanhui Guo. Convergence of Deep Learning and Internet of Things: Computing and Technology. IGI Global, 2022.

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37

Convergence of Deep Learning and Internet of Things: Computing and Technology. IGI Global, 2022.

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38

Zheng, Robert. Strategies for Deep Learning with Digital Technology: Theories and Practices in Education. Nova Science Publishers, Incorporated, 2018.

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39

Awad, Ali Ismail, and Mahmoud Hassaballah. Deep Learning in Computer Vision: Principles and Applications. Taylor & Francis Group, 2020.

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40

Awad, Ali Ismail, and Mahmoud Hassaballah. Deep Learning in Computer Vision: Principles and Applications. Taylor & Francis Group, 2020.

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41

Jena, Om Prakash, Alok Ranjan Tripathy, Brojo Kishore Mishra, and Ahmed A. Elngar, eds. Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150404011220301.

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Abstract:

Blockchain, whether public or private, is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services. This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT, before explaining how these technologies, when merged together, provide a transparent, reliable, and secure model for data proces

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42

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. CRC Press LLC, 2021.

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43

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. CRC Press, 2021.

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44

Suganthi, K., R. Karthik, G. Rajesh, and Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Taylor & Francis Group, 2021.

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45

Suganthi, K., R. Karthik, G. Rajesh, and Peter Ho Chiung Ching. Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems. Taylor & Francis Group, 2021.

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46

Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things. Taylor & Francis Group, 2021.

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47

Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things. Taylor & Francis Group, 2023.

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48

P, Singh R., Govind Singh Patel, Amrita Rai, and Nripendra Narayan Das. Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things. Taylor & Francis Group, 2021.

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49

Patel, Govind Singh. Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things. Taylor & Francis Group, 2021.

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50

P, Singh R., Govind Singh Patel, Amrita Rai, and Nripendra Narayan Das. Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things. Taylor & Francis Group, 2021.

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