Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model. - Adil Aslam Mir; Fatih Vehbi Çelebi; Hadeel Alsolai; Shahzad Ahmad Qureshi; Muhammad Rafique; Jaber S. Alzahrani; Hany Mahgoub; Manar Ahmed Hamza (IEEE Access, 2022)

An Improved Imputation Method for Accurate Prediction of Imputed Dataset Based Radon Time Series. - Adil Aslam Mir; Fatih Vehbi Çelebi; Muhammad Rafique; Lal Hussain; Ahmed S. Almasoud; Masoud Alajmi; Fahd N. Al-Wesabi; Anwer Mustafa Hilal (IEEE Access, 2022)

Radon anomaly classification and missing data imputation: A methodology based on stacking and automatic anomaly indication function (Radon anomali sınıflandırması ve eksik veri tahmini: Yığınlama ve otomatik anomali gösterge fonksiyonuna dayalı bir metodoloji) - Adil Aslam Mir (2022)

Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option. - Adil Aslam Mir; Lal Hussain; Muhammad Hammad Waseem; Amjad Aldweesh; Saim Rasheed; El Sayed Yousef; Malik Sajjad Ahmed Nadeem; Elsayed Tag-Eldin (Appl. Artif. Intell., 2022)

Time Series Reconstruction With Feature-Driven Imputation: A Comparison of Base Learning Algorithms. - Nadeem Bashir; Adil Aslam Mir; Ali Daud; Muhammad Rafique; Amal Bukhari (IEEE Access, 2024)

Breast Cancer Detection Using Mammography: Image Processing to Deep Learning. - Shahzad Ahmad Qureshi; Aziz ul Rehman; Lal Hussain; Touseef Sadiq; Syed Taimoor Hussain Shah; Adil Aslam Mir; Muhammad Amin Nadim; Darnell K. Adrian Williams; Tim Q. Duong; Qurat-Ul-Ain Chaudhary; Natasha Habib; Asrar Ahmad; et al. (IEEE Access, 2025)