Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering. - Hufsa Khan; Xizhao Wang; Han Liu 002 (Comput. Electr. Eng., 2021)

Handling missing data through deep convolutional neural network. - Hufsa Khan; Xizhao Wang; Han Liu 002 (Inf. Sci., 2022)

An Empirical Study on Retinex Methods for Low-Light Image Enhancement. - Muhammad Tahir Rasheed; Guiyu Guo; Daming Shi 001; Hufsa Khan; Xiaochun Cheng (Remote. Sens., 2022)

A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment. - Muhammad Tahir Rasheed; Daming Shi 001; Hufsa Khan (Signal Process., 2023)

A study on relationship between prediction uncertainty and robustness to noisy data. - Hufsa Khan; Xizhao Wang; Han Liu 002 (Int. J. Syst. Sci., 2023)

High-order polynomial interpolation with CNN: A robust approach for missing data imputation. - Hufsa Khan; Muhammad Tahir Rasheed; Han Liu 002; Shengli Zhang 001 (Comput. Electr. Eng., 2024)

Empirical study of outlier impact in classification context. - Hufsa Khan; Muhammad Tahir Rasheed; Shengli Zhang 001; Xizhao Wang; Han Liu 002 (Expert Syst. Appl., 2024)