Amina Salhi

Abstract The long-term physiologic effects of thyroid problems make them one of the most important endocrine disorders. Even if a lot of machine learning and deep learning techniques have been presented out for the early detection of thyroid disease, it is still difficult to achieve reliable and clinically accurate multi-class diagnostic performance.

Abstract This study investigates the structural, electronic, elastic, optical, and thermoelectric properties of double perovskite oxides A2GaBiO6 (A = Sr, Ba). It uses Density Functional Theory (DFT) combined with BoltzTrap2 within the Full-Potential Linearized Augmented Plane Wave (FP-LAPW) method. Exchange-correlation potential is described by using the well-organized Modified Becke-Johnson (mBJ) with the combination of Spin-Orbit Coupling (SOC).

A.Salhi, P.Kalpana, S.Lakmala, E.Albalawi, A. M.Alabdali, and R.Mittal, “A Novel Tiny Machine Learning Framework for Side Channel Attack Detection in Vehicular Networks,” Transactions on Emerging Telecommunications Technologies37, no. 5 (2026): e70434, https://doi.org/10.1002/ett.70434. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.