Ali Asghar Alesheikh
Biographic Data
| ID | 6309723 |
|---|---|
| NAME | Ali Asghar Alesheikh |
| GIVEN NAMES | Ali Asghar |
| FAMILY NAME | Alesheikh |
| SIGNATURE | ALESHEIKH A A |
| AFFILIATIONS | K.N.Toosi University of Technology |
| ORCID | 0000-0001-9537-9401 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Fine-tuning Small Language Models (SLMs) for autonomous web-based geographical information systems (AWebGIS)
Developing an integrated framework for 3D cadastre in Iran
Spatial analysis of county-level determinants of overdose mortality in the United States using spatial machine learning
In recent years, there has been a growing body of literature on identifying effective determinants for modeling the spatial variation of overdose rates, addressing this emerging public health concern globally. We compiled a range of widely recognized factors to examine spatial heterogeneity and its associations with overdose mortality using a non-linear geographically weighted random forest approach. The model outperformed conventional ones with …
A Dempster–Shafer Enhanced Framework for Urban Road Planning Using a Model-Based Digital Twin and MCDM Techniques
Rapid urbanization in developing countries presents a critical challenge in the need for extensive and appropriate road expansion, which in turn contributes to traffic congestion and air pollution. Urban areas are economic engines, but their efficiency and livability rely on well-designed road networks. This study proposes a novel approach to urban road planning that leverages the power of several innovative techniques. The cornerstone of this ap…
Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model
The risk map generated through this study carries significant potential to enhance public awareness and inform the formulation of impactful policies to combat Leptospirosis. These maps also play a crucial role in tracking disease incidents and strategically directing interventions toward the regions most susceptible
Comparison of optimized data-driven models for landslide susceptibility mapping
Spatial Modeling of Covid-19 Prevalence Using Adaptive Neuro-Fuzzy Inference System
This study is dedicated to modeling the spatial variation in COVID-19 prevalence using the adaptive neuro-fuzzy inference system (ANFIS) when dealing with nonlinear relationships, especially useful for small areas or small sample size problems. We compiled a broad range of socio-demographic, environmental, and climatic factors along with potentially related urban land uses to predict COVID-19 prevalence in rural districts of the Golestan province…
Ubiquitous GIS based outdoor evacuation assistance
An event-based model and a map visualization approach for spatiotemporal association relations discovery of diseases diffusion
VGI-based spatial data infrastructure for land administration
Predicting subjective measures of walkability index from objective measures using artificial neural networks
Urban vulnerability under various blast loading scenarios
Agent-based modeling of urban land-use development, case study
Agent-based modeling of urban land-use development, case study
Urban vulnerability under various blast loading scenarios
Predicting subjective measures of walkability index from objective measures using artificial neural networks
Spatial Modeling of Covid-19 Prevalence Using Adaptive Neuro-Fuzzy Inference System
This study is dedicated to modeling the spatial variation in COVID-19 prevalence using the adaptive neuro-fuzzy inference system (ANFIS) when dealing with nonlinear relationships, especially useful for small areas or small sample size problems. We compiled a broad range of socio-demographic, environmental, and climatic factors along with potentially related urban land uses to predict COVID-19 prevalence in rural districts of the Golestan province…
Ubiquitous GIS based outdoor evacuation assistance
An event-based model and a map visualization approach for spatiotemporal association relations discovery of diseases diffusion
VGI-based spatial data infrastructure for land administration
Spatio-temporal modeling of human leptospirosis prevalence using the maximum entropy model
The risk map generated through this study carries significant potential to enhance public awareness and inform the formulation of impactful policies to combat Leptospirosis. These maps also play a crucial role in tracking disease incidents and strategically directing interventions toward the regions most susceptible
Comparison of optimized data-driven models for landslide susceptibility mapping
A Dempster–Shafer Enhanced Framework for Urban Road Planning Using a Model-Based Digital Twin and MCDM Techniques
Rapid urbanization in developing countries presents a critical challenge in the need for extensive and appropriate road expansion, which in turn contributes to traffic congestion and air pollution. Urban areas are economic engines, but their efficiency and livability rely on well-designed road networks. This study proposes a novel approach to urban road planning that leverages the power of several innovative techniques. The cornerstone of this ap…
Spatial analysis of county-level determinants of overdose mortality in the United States using spatial machine learning
In recent years, there has been a growing body of literature on identifying effective determinants for modeling the spatial variation of overdose rates, addressing this emerging public health concern globally. We compiled a range of widely recognized factors to examine spatial heterogeneity and its associations with overdose mortality using a non-linear geographically weighted random forest approach. The model outperformed conventional ones with …
Fine-tuning Small Language Models (SLMs) for autonomous web-based geographical information systems (AWebGIS)
Developing an integrated framework for 3D cadastre in Iran
Computer Science (9 works) · Geography (7 works) · Engineering (6 works) · Mathematics (5 works) · Statistics (5 works) · Data mining (4 works) · Land use (4 works) · Medicine (4 works) · Artificial Intelligence (3 works) · Business (3 works)