Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images. - Auwalu Saleh Mubarak; Sertan Serte; Fadi Al-Turjman 001; Zubaida Sa'id Ameen; Mehmet Ozsoz (Expert Syst. J. Knowl. Eng., 2022)

Futuristic CRISPR-based biosensing in the cloud and internet of things era: an overview. - Abdullahi Umar Ibrahim; Fadi Al-Turjman 001; Zubaida Sa'id Ameen; Mehmet Ozsoz (Multim. Tools Appl., 2022)

Attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review. - Sarumi Usman Abidemi; Auwalu Saleh Mubarak; Olukayode Akanni; Zubaida Sa'id Ameen; Diletta Cacciagrano; Fadi M. Al-Turjman (AINA (3), 2023)

Effects of Hybrid Contrast Enhancement and Bilateral Filtering for Enhancing Ultrasound Thyroid Cancer Images Classification. - Leena R. David; Dalal Yousef Omar Alnakhalah; Safa Zeinal Dastras; Abdulmunhem Obaideen; Zubaida Said Ameen; Sareh Khalvati; Reem Hassan Mohamed Saleh Alobeidli; Dilber Uzun Ozsahin; Taha Fouad; Wesam Ali Hidar; Mohit Pandey; Aisha Alshuweihi; et al. (DeSE, 2024)

Data augmentation and denoising of computed tomography scan images in training deep learning models for rapid COVID-19 detection. - Auwalu Saleh Mubarak; Sertan Serte; Fadi M. Al-Turjman; Zubaida Sa'id Ameen (Int. J. Bus. Intell. Data Min., 2024)

Incorporating time as a third dimension in transcriptomic analysis using machine learning and explainable AI. - Zubaida Said Ameen; Auwalu Saleh Mubarak; Mohamad Hamad; Rifat Hamoudi; Sherlyn Jemimah; Dilber Uzun Ozsahin; Mawieh Hamad (Comput. Biol. Chem., 2025)

A hybrid univariate data preprocessing using overlapping flexible sliding window and DWT for rainfall prediction using deep learning ensemble techniques. - Mansur Mohammed; Rahib H. Abiyev; Zubaida Sa'id Ameen; Auwalu Saleh Mubarak (Earth Sci. Informatics, 2025)