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Dr Azizur Rahman
Dr Azizur Rahman
Associate Professor in Mathematics and Statistics, Charles Sturt University
在 csu.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic …
MB Reitsma, PJ Kendrick, E Ababneh, C Abbafati, M Abbasi-Kangevari, ...
The Lancet 397 (10292), 2337-2360, 2021
5072021
Determinants of chronic malnutrition among preschool children in Bangladesh
A Rahman, S Chowdhury
Journal of biosocial science 39 (2), 161-173, 2007
2732007
Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020
D Bryazka, MB Reitsma, MG Griswold, KH Abate, C Abbafati, ...
The Lancet 400 (10347), 185-235, 2022
2672022
A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment
MG Uddin, S Nash, A Rahman, AI Olbert
Water Research 219, 118532, 2022
1492022
Acute malnutrition in Bangladeshi children: levels and determinants
A Rahman, S Chowdhury, D Hossain
Asia Pacific Journal of Public Health 21 (3), 294-302, 2009
1182009
Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
HH Kyu, A Vongpradith, SB Sirota, A Novotney, CE Troeger, MC Doxey, ...
The Lancet Infectious Diseases 22 (11), 1626-1647, 2022
1102022
Robust machine learning algorithms for predicting coastal water quality index
MG Uddin, S Nash, MTM Diganta, A Rahman, AI Olbert
Journal of Environmental Management 321, 115923, 2022
1072022
Performance analysis of the water quality index model for predicting water state using machine learning techniques
MG Uddin, S Nash, A Rahman, AI Olbert
Process Safety and Environmental Protection 169, 808-828, 2023
1012023
Jurisdictional, socioeconomic and gender inequalities in child health and development: Analysis of a national census of 5 year olds in Australia
S Brinkman, A Gormez, A Rahman, colleagues
BMJ Open 2 (5 e001075), pp. 1-15, 2012
1012012
A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
MG Uddin, S Nash, A Rahman, AI Olbert
Water Research 229, 119422, 2023
942023
Small area estimation and microsimulation modeling
A Rahman, A Harding
Chapman and Hall/CRC, 2016
892016
Methodological issues in spatial microsimulation modelling for small area estimation
A Rahman, A Harding, R Tanton, S Liu
International Journal of Microsimulation 3 (2), 3-22, 2010
832010
Malware analysis and detection using data mining and machine learning classification
M Chowdhury, A Rahman, R Islam
International conference on applications and techniques in cyber security …, 2018
782018
Prevalence and determinants of chronic malnutrition among under-5 children in Ethiopia
BM Zeleke, A Rahman
International Journal of Child Health and Nutrition 2 (3), 230-236, 2013
712013
Significant Risk Factors for Childhood Malnutrition: Evidence from an Asian Developing Country
A Rahman
Science Journal of Public Health 4 (1), 16-27, 2016
692016
Assessing optimization techniques for improving water quality model
MG Uddin, S Nash, A Rahman, AI Olbert
Journal of Cleaner Production 385, 135671, 2023
662023
Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia
A Rahman, A Harding, R Tanton, S Liu
Computational Statistics & Data Analysis 57 (1), 149-165, 2013
662013
A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19
P Harjule, A Rahman, B Agarwal
Journal of Interdisciplinary Mathematics 24 (2), 411-424, 2021
632021
A review of small area estimation problems and methodological developments
A Rahman
572008
Statistics-based data preprocessing methods and machine learning algorithms for big data analysis
A Rahman
International Journal of Artificial Intelligence 17 (2), 44-65, 2019
552019
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