A novel Bvp4c-based data-driven intelligent artificial neural network approach for analyzing gyrotactic microorganisms in triple-stratified Prandtl nanofluids

Jithender Reddy Gurejala; S. S. Zafar; Aurang Zaib; Farhan Ali; Umair Khan; M. Faizan; Najiyah Safwa Khashi'ie; Samia Elattar

doi:10.1080/16583655.2026.2674986

Q1 2026

A novel Bvp4c-based data-driven intelligent artificial neural network approach for analyzing gyrotactic microorganisms in triple-stratified Prandtl nanofluids

Jithender Reddy Gurejala · S. S. Zafar · Aurang Zaib · Farhan Ali · Umair Khan · M. Faizan · Najiyah Safwa Khashi'ie · Samia Elattar

10.1080/16583655.2026.2674986 389 Views 0 Citations

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Cite this Article (APA)

Jithender, R. G., S., S. Z., Aurang, Z., Farhan, A., Umair, K., M., F., Najiyah, S. K., Samia, E. (2026). A novel Bvp4c-based data-driven intelligent artificial neural network approach for analyzing gyrotactic microorganisms in triple-stratified Prandtl nanofluids. Journal of Taibah University for Science. https://doi.org/10.1080/16583655.2026.2674986