Dr. Zamir Hussain
is working as
Associate Professor
in the
School of Interdisciplinary Engineering & Sciences. Dr. Zamir Hussain
has a PhD in
Applied Statistics
. Dr. Zamir Hussain
has published
28
research articles & conference papers having a citation count of
206
, carried out
3
projects and filed
0
intellectual property.
Research Tags
AI in health informatics
Autism screening
Extreme values analysis
Modelling climate variables
Screening processes of mental and developmental disorders
Smart screening of cancer
Machine Learning
Funding Agency: Department of Political Science & International Relations, University of Gujrat
26
Research Articles
2
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports2025
Journal: International Journal of Engineering Education, Volume 33, Issue 2, Pages 596-609,
Impact Factor: 0.575Citations: 0Quartile: 4
Effects of L-Moments, Maximum Likelihood and Maximum Product of Spacing Estimation Methods in Using Pearson Type-3 Distribution for Modeling Extreme Values 2021
MU
Muhammad Shafeeq ul Rehman Khan
(International Islamic University)
Journal: Journal of Flood Risk Management, Volume14, Issue 4, Article Number e12751
Impact Factor: 3.884Citations: 5Quartile: 1
Quality, safety, and microbiological assessment of loose market milk and antibiotic resistance analysis of Escherichia coli isolates in different areas of Faisalabad, Pakistan2024
Journal: Journal of Computer-Aided Molecular Design, Volume:39, Issue:1, Article Number 8
Impact Factor: 3.000Citations: 1Quartile: 2
A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis2025
MU
Muhammad Shafeeq ul Rehman Khan
(University of Cagliari)
Kamran Abbas
(University of Azad Jammu and Kashmir)
Journal: Applied Ecology and Environmental Research, Vol.17(6), Pages 13607-13623
Impact Factor: 0.712Citations: 2Quartile: 4
A comparison of quadratic regression and artificial neural networks for the estimation of quantiles at ungauged sites in regional frequency analysis2019