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Sufi Mostafizur Rahman

Biographic Data

ID226101
NAMESufi Mostafizur Rahman
GIVEN NAMESSufi Mostafizur
FAMILY NAMERahman
SIGNATURERAHMAN S M
AFFILIATIONSKing Fahd University of Petroleum and Minerals
ORCID0000-0003-3624-0519
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS3
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Developing countries’ greenhouse gas emissions reduction: A new approach with a focus on behavioral changes

    Open Access•Bishal Saha, Lailun Nahar et al.•ARTICLE•Environment Development and…•2025

  • A review of factors and benefits of non-motorized transport: A way forward for developing countries

    Open Access•Umer Mansoor, Mohammad Tamim Kashifi et al.•ARTICLE•Environment Development and…•2022

  • A review of policies and initiatives for climate change mitigation and environmental sustainability in Bangladesh

    Open Access•Md Monirul Islam Chowdhury, Sufi Mostafizur Rahman et al.•ARTICLE•Environment Development and…•2021

  • Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol

    Open Access•Khaled Assi, Sufi Mostafizur Rahman et al.•ARTICLE•International Journal of…•2020

    Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic crashes. This study developed machine learning (ML) models to predict crash injury severity using 15 crash-related parameters. Separate ML models for each cluster were obtained using fuzzy c-means, which enhanced the predicting capability. Finally, four ML models were developed: feed-forward neural networks (FNN), support vector machine (SVM), fuzzy …

  • Agricultural systems in Bangladesh: The first archaeobotanical results from Early Historic Wari-Bateshwar and Early Medieval Vikrampura

    Open Access•Mizanur Rahman, Cristina Cobo Castillo et al.•ARTICLE•Archaeological and Anthropological…•2020•Cited by: 3•References: 40

    The present paper reports the first systematic archaeobotanical evidence from Bangladesh together with direct AMS radiocarbon dates on crop remains. Macro-botanical remains were collected by flotation from two sites, Wari-Bateshwar (WB), an Early Historic archaeological site, dating mainly between 400 and 100 BC, with a later seventh century AD temple complex, and Raghurampura Vikrampura (RV), a Buddhist Monastery ( vihara ) located within the Vi…

  • Sustainable waste management policy in Bangladesh for reduction of greenhouse gases

    Open Access•Shahriar Shams, J N Sahu et al.•ARTICLE•Sustainable Cities and Society•2017

  • Controlled Free Choice Method: A Proposal for a New Undergraduate Major Selection Policy at King Fahd University of Petroleum & Minerals

    Open Access•Adel S Aldosary, Adel S Al-dosary et al.•ARTICLE•Higher Education Policy•2006

  • Agricultural systems in Bangladesh: The first archaeobotanical results from Early Historic Wari-Bateshwar and Early Medieval Vikrampura

    Open Access•Mizanur Rahman, Cristina Cobo Castillo et al.•ARTICLE•Archaeological and Anthropological…•2020•Cited by: 3•References: 40

    The present paper reports the first systematic archaeobotanical evidence from Bangladesh together with direct AMS radiocarbon dates on crop remains. Macro-botanical remains were collected by flotation from two sites, Wari-Bateshwar (WB), an Early Historic archaeological site, dating mainly between 400 and 100 BC, with a later seventh century AD temple complex, and Raghurampura Vikrampura (RV), a Buddhist Monastery ( vihara ) located within the Vi…

  • Controlled Free Choice Method: A Proposal for a New Undergraduate Major Selection Policy at King Fahd University of Petroleum & Minerals

    Open Access•Adel S Aldosary, Adel S Al-dosary et al.•ARTICLE•Higher Education Policy•2006

  • Sustainable waste management policy in Bangladesh for reduction of greenhouse gases

    Open Access•Shahriar Shams, J N Sahu et al.•ARTICLE•Sustainable Cities and Society•2017

  • Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol

    Open Access•Khaled Assi, Sufi Mostafizur Rahman et al.•ARTICLE•International Journal of…•2020

    Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic crashes. This study developed machine learning (ML) models to predict crash injury severity using 15 crash-related parameters. Separate ML models for each cluster were obtained using fuzzy c-means, which enhanced the predicting capability. Finally, four ML models were developed: feed-forward neural networks (FNN), support vector machine (SVM), fuzzy …

  • Agricultural systems in Bangladesh: The first archaeobotanical results from Early Historic Wari-Bateshwar and Early Medieval Vikrampura

    Open Access•Mizanur Rahman, Cristina Cobo Castillo et al.•ARTICLE•Archaeological and Anthropological…•2020•Cited by: 3•References: 40

    The present paper reports the first systematic archaeobotanical evidence from Bangladesh together with direct AMS radiocarbon dates on crop remains. Macro-botanical remains were collected by flotation from two sites, Wari-Bateshwar (WB), an Early Historic archaeological site, dating mainly between 400 and 100 BC, with a later seventh century AD temple complex, and Raghurampura Vikrampura (RV), a Buddhist Monastery ( vihara ) located within the Vi…

  • A review of policies and initiatives for climate change mitigation and environmental sustainability in Bangladesh

    Open Access•Md Monirul Islam Chowdhury, Sufi Mostafizur Rahman et al.•ARTICLE•Environment Development and…•2021

  • A review of factors and benefits of non-motorized transport: A way forward for developing countries

    Open Access•Umer Mansoor, Mohammad Tamim Kashifi et al.•ARTICLE•Environment Development and…•2022

  • Developing countries’ greenhouse gas emissions reduction: A new approach with a focus on behavioral changes

    Open Access•Bishal Saha, Lailun Nahar et al.•ARTICLE•Environment Development and…•2025

Economics (5 works) · Business (4 works) · Economic growth (3 works) · Engineering (3 works) · Greenhouse gas (3 works) · Medicine (3 works) · Natural resource economics (3 works) · Biology (2 works) · Computer Science (2 works) · Ecology (2 works)

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