Navid Mahdizadeh Gharakhanlou
Biographic Data
| ID | 9965913 |
|---|---|
| NAME | Navid Mahdizadeh Gharakhanlou |
| GIVEN NAMES | Navid Mahdizadeh |
| FAMILY NAME | Gharakhanlou |
| SIGNATURE | GHARAKHANLOU N M |
| AFFILIATIONS | Université de Montréal |
| ORCID | 0000-0001-6762-9012 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A Novel Context-Aware Douglas–Peucker (Cadp) Trajectory Compression Method
Most traditional trajectory compression methods, such as the Douglas–Peucker (DP) method, consider only spatial characteristics and disregard contextual factors, including environmental context. This paper proposes a new way of trajectory formulation by considering all spatial, internal, environmental, and semantic contexts to capture all contextual aspects of moving objects. Then, we propose the Context-Aware Douglas–Peucker (CADP) method for tr…
Geocomputational Approach to Simulate and Understand the Spatial Dynamics of Covid-19 Spread in the City of Montreal, QC, Canada
Throughout history, pandemics have forced societies to think beyond typical management and control protocols. The main goals of this study were to simulate and understand the spatial dynamics of COVID-19 spread and assess the efficacy of two policy measures in Montreal, Canada, to mitigate the COVID-19 outbreak. We simulated the COVID-19 outbreak using a Geographical Information System (GIS)-based agent-based model (ABM) and two management scenar…
A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran
Malaria threatens the lives of many people throughout the world. To counteract its spread, knowledge of the prevalence of malaria and the effectiveness of intervention strategies is of great importance. The aim of this study was to assess (1) the spread of malaria by means of a spatial agent-based model (ABM) and (2) the effectiveness of several interventions in controlling the spread of malaria. We focused on Sarbaz county in Iran, a malaria-end…
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A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran
Malaria threatens the lives of many people throughout the world. To counteract its spread, knowledge of the prevalence of malaria and the effectiveness of intervention strategies is of great importance. The aim of this study was to assess (1) the spread of malaria by means of a spatial agent-based model (ABM) and (2) the effectiveness of several interventions in controlling the spread of malaria. We focused on Sarbaz county in Iran, a malaria-end…
Geocomputational Approach to Simulate and Understand the Spatial Dynamics of Covid-19 Spread in the City of Montreal, QC, Canada
Throughout history, pandemics have forced societies to think beyond typical management and control protocols. The main goals of this study were to simulate and understand the spatial dynamics of COVID-19 spread and assess the efficacy of two policy measures in Montreal, Canada, to mitigate the COVID-19 outbreak. We simulated the COVID-19 outbreak using a Geographical Information System (GIS)-based agent-based model (ABM) and two management scenar…
A Novel Context-Aware Douglas–Peucker (Cadp) Trajectory Compression Method
Most traditional trajectory compression methods, such as the Douglas–Peucker (DP) method, consider only spatial characteristics and disregard contextual factors, including environmental context. This paper proposes a new way of trajectory formulation by considering all spatial, internal, environmental, and semantic contexts to capture all contextual aspects of moving objects. Then, we propose the Context-Aware Douglas–Peucker (CADP) method for tr…
Computer Science (2 works) · COVID-19 epidemiological studies (2 works) · Geography (2 works) · Mathematics (2 works) · Medicine (2 works) · Population (2 works) · Algorithm (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work) · COVID-19 Digital Contact Tracing (1 work)