A comparative recognition research on excretory organism in medical applications using neural networks-Reference-Cited by-同舟云学术

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A comparative recognition research on excretory organism in medical applications using neural networks

Published:2023-12-21 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

K Vidhya,R Krishna Priya,Vidhyalakshmi M.,Ramesh S.,M. L Bharathi,Kshirsagar Pravin R.,Rajaram A.,Tirth Vineet

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17703-w.pdf

Reference15 articles.

1. Zhao K, Jiang H, Wang Z, Chen P, Zhu B, Duan X (2020) Long-term bowel sound monitoring and segmentation by wearable devices and convolutional neural networks. IEEE Trans Biomed Circuits Syst 14(5):985–996. https://doi.org/10.1109/TBCAS.2020.3018711

2. Xiao Z, Feng LN (2020) A study on wireless capsule endoscopy for small intestinal lesions detection based on deep learning target detection. IEEE Access 8(159017):159017–159026. https://doi.org/10.1109/ACCESS.2020.3019888

3. Wong WC, Chee E, Li J, Wang X (2018) Recurrent neural network-based model predictive control for continuous pharmaceutical manufacturing. Mathematics 6(11):242. https://doi.org/10.3390/math6110242

4. Chudtong M, De Gaetano A (2021) A mathematical model of food intake. Math Biosci Eng 18(2):1238–1279. https://doi.org/10.3934/MBE.2021067

5. Guerrero Sánchez Y, Sabir Z, Günerhan H, Baskonus HM (2020) Analytical and approximate solutions of a novel nervous stomach mathematical model. Discrete Dyn Nat Soc 2020. https://doi.org/10.1155/2020/5063271

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