Big data analytics enabled deep convolutional neural network for the diagnosis of cancer-Reference-Cited by-同舟云学术

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Big data analytics enabled deep convolutional neural network for the diagnosis of cancer

Published:2023-09-14 Issue:2 Volume:66 Page:905-931
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Awotunde Joseph Bamidele,Panigrahi Ranjit,Shukla Shubham,Panda Baidyanath,Bhoi Akash Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-023-01971-x.pdf

Reference57 articles.

1. Kashyap H, Ahmed HA, Hoque N, Roy S, Bhattacharyya DK (2016) Big data analytics in bioinformatics: architectures, techniques, tools and issues. Netw Model Anal Health Inform Bioinform 5:1–28

2. Awotunde JB, Adeniyi AE, Ogundokun RO, Ajamu GJ, Adebayo PO (2021) MIoT-based big data analytics architecture, opportunities and challenges for enhanced telemedicine systems. Enhanc Telemed e-Health. https://doi.org/10.1007/978-3-030-70111-6_10

3. Abiodun MK, Awotunde JB, Ogundokun RO, Adeniyi EA, Arowolo MO (2021) Security and information assurance for IoT-based big data. Artificial intelligence for cyber security: methods issues and possible horizons or opportunities. Springer, Cham, pp 189–211

4. Marjani M, Nasaruddin F, Gani A, Karim A, Hashem IAT, Siddiqa A, Yaqoob I (2017) Big IoT data analytics: architecture, opportunities, and open research challenges. IEEE Access 5:5247–5261

5. Gericke NM, Smith MU (2014) Twenty-first-century genetics and genomics: contributions of HPS-informed research and pedagogy. International handbook of research in history, philosophy and science teaching. Springer, Cham, pp 423–467

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