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Books on the topic 'Deep Learning Applications'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 June 2025

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1

Wani, M. Arif, Mehmed Kantardzic, and Moamar Sayed-Mouchaweh, eds. Deep Learning Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1816-4.

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2

Kose, Utku, Omer Deperlioglu, and D. Jude Hemanth. Deep Learning for Biomedical Applications. CRC Press, 2021. http://dx.doi.org/10.1201/9780367855611.

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3

Wani, M. Arif, Bhiksha Raj, Feng Luo, and Dejing Dou, eds. Deep Learning Applications, Volume 3. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3357-7.

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4

Pedrycz, Witold, and Shyi-Ming Chen, eds. Deep Learning: Algorithms and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31760-7.

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5

Wani, M. Arif, Taghi M. Khoshgoftaar, and Vasile Palade, eds. Deep Learning Applications, Volume 2. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6759-9.

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6

Balas, Valentina Emilia, Sanjiban Sekhar Roy, Dharmendra Sharma, and Pijush Samui, eds. Handbook of Deep Learning Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11479-4.

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7

Wani, M. Arif, and Vasile Palade, eds. Deep Learning Applications, Volume 4. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6153-3.

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8

Conte, Donatello, Ana Fred, Oleg Gusikhin, and Carlo Sansone, eds. Deep Learning Theory and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39059-3.

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9

Fred, Ana, Carlo Sansone, Oleg Gusikhin, and Kurosh Madani, eds. Deep Learning Theory and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37317-6.

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10

Fred, Ana, Carlo Sansone, and Kurosh Madani, eds. Deep Learning Theory and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37320-6.

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11

Seo, Jin Keun, ed. Deep Learning and Medical Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1839-3.

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12

Fred, Ana, Allel Hadjali, Oleg Gusikhin, and Carlo Sansone, eds. Deep Learning Theory and Applications. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66705-3.

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13

Fred, Ana, Allel Hadjali, Oleg Gusikhin, and Carlo Sansone, eds. Deep Learning Theory and Applications. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66694-0.

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14

Huang, Kaizhu, Amir Hussain, Qiu-Feng Wang, and Rui Zhang, eds. Deep Learning: Fundamentals, Theory and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06073-2.

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15

Manaswi, Navin Kumar. Deep Learning with Applications Using Python. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3516-4.

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16

Alazab, Mamoun, and MingJian Tang, eds. Deep Learning Applications for Cyber Security. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13057-2.

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17

Li, Fangxing, and Yan Du. Deep Learning for Power System Applications. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-45357-1.

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18

Roy, Sanjiban Sekhar, Ching-Hsien Hsu, and Venkateshwara Kagita, eds. Deep Learning Applications in Image Analysis. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3784-4.

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19

Bhatti, Uzair Aslam, Huang Mengxing, Jingbing Li, Sibghat Ullah Bazai, and Muhammad Aamir. Deep Learning for Multimedia Processing Applications. CRC Press, 2023. http://dx.doi.org/10.1201/9781032646268.

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20

Bhatti, Uzair Aslam, Huang Mengxing, Jingbing Li, Sibghat Ullah Bazai, and Muhammad Aamir. Deep Learning for Multimedia Processing Applications. CRC Press, 2023. http://dx.doi.org/10.1201/9781003427674.

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21

Chaudhary, Aryan, Biswadip Basu Mallik, Gunjan Mukherjee, and Rahul Kar. Deep Learning Applications in Operations Research. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781032725444.

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22

Abualigah, Laith, ed. Classification Applications with Deep Learning and Machine Learning Technologies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17576-3.

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23

Abedin, Mohammad Zoynul, and Petr Hajek, eds. Novel Financial Applications of Machine Learning and Deep Learning. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18552-6.

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24

Shanthamallu, Uday Shankar, and Andreas Spanias. Machine and Deep Learning Algorithms and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03758-0.

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25

Zin, Thi Thi, and Jerry Chun-Wei Lin, eds. Big Data Analysis and Deep Learning Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0869-7.

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26

Hazra, Tanmoy, Kushal Anjaria, Aditi Bajpai, and Akshara Kumari. Applications of Game Theory in Deep Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54653-2.

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27

Xuan, Qi, Yun Xiang, and Dongwei Xu. Deep Learning Applications. WORLD SCIENTIFIC, 2022. http://dx.doi.org/10.1142/13158.

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28

Luigi Mazzeo, Pier, and Paolo Spagnolo, eds. Deep Learning Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.91576.

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29

Spagnolo, Paolo, and Pier Luigi Mazzeo. Deep Learning Applications. IntechOpen, 2021.

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30

Kantardzic, Mehmed, Moamar Sayed-Mouchaweh, and M. Arif Wani. Deep Learning Applications. Springer, 2020.

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31

Foo, Simon Y., Harold Szu, and Henry Chu. Deep Learning and Applications. Elsevier Science & Technology Books, 2019.

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32

Chen, Shyi-Ming, and Witold Pedrycz. Deep Learning: Algorithms and Applications. Springer International Publishing AG, 2020.

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33

Kumar Tiwari, Arvind, ed. Deep Learning and its Applications. Nova Science Publishers, 2021. http://dx.doi.org/10.52305/blxa7086.

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34

Khoshgoftaar, Taghi M., M. Arif Wani, and Vasile Palade. Deep Learning Applications, Volume 2. Springer Singapore Pte. Limited, 2021.

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35

Hemanth, D. Jude, Utku Kose, and Omer Deperlioglu. Deep Learning for Biomedical Applications. Taylor & Francis Group, 2021.

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36

Deep Learning for Biomedical Applications. Taylor & Francis Group, 2021.

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37

Deep Learning for Biomedical Applications. Taylor & Francis Group, 2021.

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38

Deep Learning: Methods and Applications. Now Publishers, 2014.

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39

Tiwari, Arvind Kumar. Deep Learning and Its Applications. Nova Science Publishers, Incorporated, 2021.

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40

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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41

Prudhomme, Gerard. Deep Learning Technologies and Applications. Arcler Education Inc, 2017.

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42

Wani, M. Arif, Vasile Palade, and Taghi Khoshgoftaar. Deep Learning Applications, Volume 2. Springer, 2020.

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43

Chen, Shyi-Ming, and Witold Pedrycz. Deep Learning: Algorithms and Applications. Springer, 2019.

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44

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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45

Balas, Valentina Emilia, Dharmendra Sharma, Pijush Samui, and Sanjiban Sekhar Roy. Handbook of Deep Learning Applications. Springer, 2019.

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46

Wani, M. Arif, and Vasile Palade. Deep Learning Applications, Volume 4. Springer, 2022.

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47

Luo, Feng, M. Arif Wani, Bhiksha Raj, and Dejing Dou. Deep Learning Applications, Volume 3. Springer Singapore Pte. Limited, 2021.

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48

Tiwari, Arvind Kumar. Deep Learning and Its Applications. Nova Science Publishers, Incorporated, 2021.

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49

Hemanth, D. Jude, Utku Kose, and Omer Deperlioglu. Deep Learning for Biomedical Applications. Taylor & Francis Group, 2021.

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50

Zhang, Xiang, and Xiaoxiao Li, eds. Deep Learning Architecture and Applications. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-8831-5.

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