AI-enhanced analytical and numerical solutions for fractional cancer tumor models in older adults using healthcare technologies

Osama R. Shahin; Hamoud H. Alshammari; Ibrahim Alrashdi; Mohamed N. Ibrahim; Mahmoud M. Mokhtar

doi:10.1016/j.jrras.2026.102307

10.1016/j.jrras.2026.102307 388 المشاهدات 0 الاقتباسات

الاقتباسات

388

المشاهدات

الملخص غير متوفر لهذا المنشور.

الاستشهاد بهذا المقال (APA)

Osama, R. S., Hamoud, H. A., Ibrahim, A., Mohamed, N. I., Mahmoud, M. M. (2026). AI-enhanced analytical and numerical solutions for fractional cancer tumor models in older adults using healthcare technologies. Journal of Radiation Research and Applied Sciences. https://doi.org/10.1016/j.jrras.2026.102307

Jun Zhang; Bassant Elkalzah; Yunan Liu; A. Almutairi · 2026

استشهاد

390

Analysis of photon shielding properties and buildup factors of epoxy composites reinforced with tita…

Nermeen S. Gaballah; Mona M. Gouda; Dina G. Yakot; Walaa M.R. Alahmade; Abdallah · 2026

استشهاد

392

Robust estimation of mean under probability proportional to size sampling: An application to radiati…

Anis Ben Ghorbal · 2026

استشهاد

392

Bayesian and non-Bayesian inference for the inverse power induced XLindley distribution with applica…