Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Hufsa Khan
Institution:
Shenzhen MSU-BIT University
Observed institutions:
University of the Punjab,
Shenzhen University,
Shenzhen MSU-BIT University
ORCID:
0000-0002-0037-1448
Observed ORCID:
0000-0002-0037-1448
OpenAlex ID:
A5091082830
A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment
2022
·
Muhammad Tahir Rasheed
, Daming Shi
, et al.
·
Signal Processing
·
104
Handling missing data through deep convolutional neural network
2022
·
Hufsa Khan
, Xizhao Wang
, et al.
·
Information Sciences
·
70
An Empirical Study on Retinex Methods for Low-Light Image Enhancement
2022
·
Muhammad Tahir Rasheed
, Guiyu Guo
, et al.
·
Remote Sensing
·
56
Missing value imputation through shorter interval selection driven by Fuzzy C-Means clustering
2021
·
Hufsa Khan
, Xizhao Wang
, et al.
·
Computers & Electrical Engineering
·
44
High-order polynomial interpolation with CNN: A robust approach for missing data imputation
2024
·
Hufsa Khan
, Muhammad Tahir Rasheed
, et al.
·
Computers & Electrical Engineering
·
30
Advancing low-light image enhancement through deep learning: A comprehensive experimental study
2025
·
Muhammad Tahir Rasheed
, Hufsa Khan
, et al.
·
Knowledge-Based Systems
·
19
A study on relationship between prediction uncertainty and robustness to noisy data
2023
·
Hufsa Khan
, Xizhao Wang
, et al.
·
International Journal of Systems Science
·
18
Consumer-Driven Demand-Side Management Using K-Mean Clustering and Integer Programming in Standalone Renewable Grid
2022
·
Muhammad Ahsan Ayub
, Hufsa Khan
, et al.
·
Energies
·
15
PDF
Missing label imputation through inception-based semi-supervised ensemble learning
2021
·
Hufsa Khan
, Han Liu
, et al.
·
Advances in Computational Intelligence
·
11
Empirical study of outlier impact in classification context
2024
·
Hufsa Khan
, Muhammad Tahir Rasheed
, et al.
·
Expert Systems with Applications
·
10
An empirical study of deep learning-based feature extractor models for imbalanced image classification
2023
·
Ammara Khan
, Muhammad Tahir Rasheed
, et al.
·
Advances in Computational Intelligence
·
8
Illuminating the darkness: experimental review of cutting-edge deep learning techniques for low-light image enhancement
2025
·
Hufsa Khan
, Muhammad Tahir Rasheed
, et al.
·
Cluster Computing
·
5
A unified approach to robust classification in the presence of outliers
2026
·
Hufsa Khan
, Muhammad Tahir Rasheed
, et al.
·
Engineering Science and Technology an International Journal
PDF
High-fidelity ECG synthesis from ballistocardiography using an adaptive dual-encoder wavelet–temporal fusion network
2026
·
Muhammad Tahir Rasheed
, Yantao Zeng
, et al.
·
Biomedical Signal Processing and Control
Conflict Resolution for Improving ML Accuracy
2026
·
Wenfei Fan
, Xiaoyu Han
, et al.
·
IEEE International Conference on Data Engineering (ICDE)
BiM-Diff: ECG Reconstruction from BCG with a Bidirectional Mamba-Based Diffusion Model
2025
·
Yantao Zeng
, Muhammad Tahir Rasheed
, et al.
·
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
An Analysis of Feature Extraction in Image Classification: A Comprehensive Study
2023
·
Ammara Khan
, Muhammad Tahir Rasheed
, et al.
·
Computer Science and Technology
PDF
Show more works
View as search
Works count:
17
Citation count:
390
H-index:
10
I10-index:
10
Year
Topic
Type
