A scale conjugate neural network approach for the fractional schistosomiasis disease system-Reference-Cited by-同舟云学术

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A scale conjugate neural network approach for the fractional schistosomiasis disease system

Published:2023-12-26 Issue: Volume: Page:1-14
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Sabir Zulqurnain¹,Bhat Shahid Ahmad²,Raja Muhammad Asif Zahoor³^ORCID,Baleanu Dumitru¹,Amin Fazli⁴,Wahab Hafiz Abdul⁴

Affiliation:

1. Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon

2. LUT Business School, LUT University, Lappeenranta, Finland

3. Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan, Republic of China

4. Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2298717

Reference52 articles.

1. Design of intelligent Bayesian supervised predictive networks for nonlinear delay differential systems of avian influenza model

2. Intelligent solution predictive networks for non-linear tumor-immune delayed model

3. Application of the Fractional Calculus in Pharmacokinetic Compartmental Modeling

4. Solvability of Atangana-Baleanu-Riemann (ABR) fractional stochastic differential equations driven by Rosenblatt process via measure of noncompactness

5. A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator

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