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Mohammad Maleki

Biographic Data

ID7878216
NAMEMohammad Maleki
GIVEN NAMESMohammad
FAMILY NAMEMaleki
SIGNATUREMALEKI M
AFFILIATIONSKharazmi University
ORCID0000-0002-2721-2033
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Spatial patterns in urban water consumption

    Open Access•Mohammad Maleki, Amirbahador Damroodi et al.•ARTICLE•Sustainable Cities and Society•2025

    Urban Water Consumption (UWC) is a major challenge in arid regions, intensified by urbanization, population growth, and resource scarcity, prompting debates on relocating Iran's capital to address resource scarcity and sustainability. This study analyzed the relationship between Local Climate Zones (LCZ), Land Surface Temperature (LST), and water usage in Tehran (2015–2019) to inform urban water management. UWC data was spatially matched to urban…

  • Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data

    Open Access•Saeid Zare Naghadehi, Milad Asadi et al.•ARTICLE•ISPRS International Journal of…•2021

    A reliable land cover (LC) map is essential for planners, as missing proper land cover maps may deviate a project. This study is focusing on land cover classification and prediction using three well known classifiers and remote sensing data. Maximum Likelihood classifier (MLC), Spectral Angle Mapper (SAM), and Support Vector Machines (SVMs) algorithms are used as the representatives for parametric, non-parametric and subpixel capable methods for …

  • Role of Age and Experience in Attacking Tactical Knowledge among Iranian Soccer School Players

    Open Access•Jaime Serra Olivares, Mohammad Maleki et al.•ARTICLE•Cultura Ciencia y Deporte•2021

    This study was conducted to evaluate and compare declarative and procedural knowledge among the Iranian soccer schools' players with different age and level of experience. Totally, 456 soccer schools' players with U-10, U-13 and U-16 age groups and three categories of high, middle, and low experience of competition were included in this study and completed the Soccers' Tactical Knowledge Test. Participants responded to a written multiple-choice t…

  • Multivariate Geostatistical Modeling and Risk Analysis of Beach Litter

    Open Access•Mohammad Maleki, Kevin Soria•ARTICLE•International Journal of…•2020

    Beach litter is a worldwide problem that has several negative effects. A first step in preventing an environmental hazard is to determine and model the level of contamination. In this paper, geostatistical simulation is used to model two main forms of beach litter (cigarette butts and sharp items) in one of the most contaminated beaches in Antofagasta, Chile. A hundred realizations of cigarette butts and broken glass are generated to emulate thei…

No prominent works on this page.

  • Multivariate Geostatistical Modeling and Risk Analysis of Beach Litter

    Open Access•Mohammad Maleki, Kevin Soria•ARTICLE•International Journal of…•2020

    Beach litter is a worldwide problem that has several negative effects. A first step in preventing an environmental hazard is to determine and model the level of contamination. In this paper, geostatistical simulation is used to model two main forms of beach litter (cigarette butts and sharp items) in one of the most contaminated beaches in Antofagasta, Chile. A hundred realizations of cigarette butts and broken glass are generated to emulate thei…

  • Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data

    Open Access•Saeid Zare Naghadehi, Milad Asadi et al.•ARTICLE•ISPRS International Journal of…•2021

    A reliable land cover (LC) map is essential for planners, as missing proper land cover maps may deviate a project. This study is focusing on land cover classification and prediction using three well known classifiers and remote sensing data. Maximum Likelihood classifier (MLC), Spectral Angle Mapper (SAM), and Support Vector Machines (SVMs) algorithms are used as the representatives for parametric, non-parametric and subpixel capable methods for …

  • Role of Age and Experience in Attacking Tactical Knowledge among Iranian Soccer School Players

    Open Access•Jaime Serra Olivares, Mohammad Maleki et al.•ARTICLE•Cultura Ciencia y Deporte•2021

    This study was conducted to evaluate and compare declarative and procedural knowledge among the Iranian soccer schools' players with different age and level of experience. Totally, 456 soccer schools' players with U-10, U-13 and U-16 age groups and three categories of high, middle, and low experience of competition were included in this study and completed the Soccers' Tactical Knowledge Test. Participants responded to a written multiple-choice t…

  • Spatial patterns in urban water consumption

    Open Access•Mohammad Maleki, Amirbahador Damroodi et al.•ARTICLE•Sustainable Cities and Society•2025

    Urban Water Consumption (UWC) is a major challenge in arid regions, intensified by urbanization, population growth, and resource scarcity, prompting debates on relocating Iran's capital to address resource scarcity and sustainability. This study analyzed the relationship between Local Climate Zones (LCZ), Land Surface Temperature (LST), and water usage in Tehran (2015–2019) to inform urban water management. UWC data was spatially matched to urban…

Geography (3 works) · Mathematics (3 works) · Computer Science (2 works) · Engineering (2 works) · Environmental Science (2 works) · Geology (2 works) · Land Use and Ecosystem Services (2 works) · Statistics (2 works) · Urban Heat Island Mitigation (2 works) · Artificial Intelligence (1 work)

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