Artificial intelligence grace: On the empirical performance of ML approaches with applications in english education and the radiation-oriented sector

Aifeng Xue

doi:10.1016/j.jrras.2026.102575

Citations

388

Views

Abstract not available for this publication.

Cite this Article (APA)

Aifeng, X. (2026). Artificial intelligence grace: On the empirical performance of ML approaches with applications in english education and the radiation-oriented sector. Journal of Radiation Research and Applied Sciences. https://doi.org/10.1016/j.jrras.2026.102575

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

cites

389

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

cites

391

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

Anis Ben Ghorbal · 2026

cites

390

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