Search Results - "Argany, Meysam"

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  1. 1

    Seismic vulnerability assessment of urban buildings using the rough set theory and weighted linear combination by Asadi, Yasaman, Neysani Samany, Najmeh, Kiavarz Moqadam, Majid, Abdollahi Kakroodi, Ata, Argany, Meysam

    Published in Journal of mountain science (2022)
    “…Seismic vulnerability assessment of urban buildings is among the most crucial procedures to post-disaster response and recovery of infrastructure systems. The…”
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    Journal Article
  2. 2

    Optimization of Wireless Sensor Networks Deployment Based on Probabilistic Sensing Models in a Complex Environment by Argany, Meysam, Karimipour, Farid, Mafi, Fatemeh, Afghantoloee, Ali

    Published in Journal of sensor and actuator networks (01-06-2018)
    “…In recent years, wireless sensor networks have been studied in numerous cases. One of the important problems studied in these networks is the optimal…”
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    Journal Article
  3. 3

    Context-Aware Local Optimization of Sensor Network Deployment by Argany, Meysam, Mostafavi, Mir Abolfazl, Gagne, Christian

    Published in Journal of sensor and actuator networks (01-09-2015)
    “…Wireless sensor networks are increasingly used for tracking and monitoring dynamic phenomena in urban and natural areas. Spatial coverage is an important issue…”
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    Journal Article
  4. 4

    Estimating the price of apartments in Tehran using extracted compound variables by Koohpayma, Javad, Argany, Meysam

    “…Purpose Housing price is a barometer of a national economy. In recent years, Iran experienced high inflation in its economy, which affects everything,…”
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    Journal Article
  5. 5

    Identification of dust sources using long term satellite and climatic data: A case study of Tigris and Euphrates basin by Boloorani, Ali Darvishi, Kazemi, Yasin, Sadeghi, Amin, Shorabeh, Saman Nadizadeh, Argany, Meysam

    Published in Atmospheric environment (1994) (01-03-2020)
    “…Dust storms are considered as one of the most important environmental challenges in the West Asia region. In addition to the harmful impacts of dust storms on…”
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    Journal Article
  6. 6

    A geographical direction-based approach for capturing the local variation of urban expansion in the application of CA-Markov model by Firozjaei, Mohammad Karimi, Sedighi, Amir, Argany, Meysam, Jelokhani-Niaraki, Mohammadreza, Arsanjani, Jamal Jokar

    Published in Cities (01-10-2019)
    “…Predictive modelling and its application in land change science has been considerably advanced, however, further performance improvement of the existing models…”
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    Journal Article
  7. 7

    Potential assessment of multi-renewable energy farms establishment using spatial multi-criteria decision analysis: A case study and mapping in Iran by Nadizadeh Shorabeh, Saman, Argany, Meysam, Rabiei, Javad, Karimi Firozjaei, Hamzeh, Nematollahi, Omid

    Published in Journal of cleaner production (01-05-2021)
    “…Many parts of the world may have suitable conditions and potential to establish two or more renewable energy farms. Given the pervasive use of renewable energy…”
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    Journal Article
  8. 8

    Visualized spatiotemporal data mining in investigation of Urmia Lake drought effects on increasing of PM10 in Tabriz using Space-Time Cube (2004-2019) by Ahmadi, Hamed, Argany, Meysam, Ghanbari, Abolfazl, Ahmadi, Maryam

    Published in Sustainable cities and society (01-01-2022)
    “…•Spatiotemporal data mining using space-time cube.•Trend analysis of Urmia Lake drying and PM10 concentration in Tabriz.•Investigating the relationship between…”
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    Journal Article
  9. 9

    Spatiotemporal forecasting of water change trends in Urmia Lake through to 2030, using STC-based models by Ahmadi, Hamed, Mousavi, Bahare Sadat, Argany, Meysam, Soleimani, Masoud, Ghanbari, Abolfazl

    Published in Hydrological sciences journal (09-09-2024)
    “…The purpose of this paper is to forecast the spatiotemporal water change trends in Urmia Lake through 2030. Three space-time cube-based models were applied…”
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    Journal Article
  10. 10

    Development a Spatial Recommender System for Covid 19 Vaccination Center Based on Fuzzy Method Type II (Study Area: District 6 of Tehran) by Anahita Omidi, Meysam Argany, Sahar Daraee

    “…Covid 19, also known as coronavirus, is an infectious disease caused by the SARS-CoV-2 virus. Anyone can get Covid 19 at any age and become seriously ill or…”
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    Journal Article
  11. 11

    Optimizing locations of emergency medical stations for rural areas: A case study in Iran by Ahmadi, Hamed, Jelokhani-Niaraki, Mohammadreza, Argany, Meysam, Ghanbari, Abolfazl

    “…Given the dearth of emergency medical services in rural areas, offering these services is among the most important things that should be done right to save the…”
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    Journal Article
  12. 12

    Designing a bi-level emergency medical centers' chain to increase the resilience of EMS's supply-chain using ACO-QAP: A case study of Tabriz by Ahmadi, Hamed, Samany, Najmeh Neysani, Ghanbari, Abolfazl, Argany, Meysam

    “…[Display omitted] •Designing a bi-level EMCs' chain to increase the resilience to hazards.•Locating the second-level EMCs, localized for each hospitals'…”
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    Journal Article
  13. 13

    Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage by Akbarzadeh, V., Gagne, C., Parizeau, M., Argany, M., Mostafavi, M. A.

    “…This paper proposes a probabilistic sensor model for the optimization of sensor placement. Traditional schemes rely on simple sensor behaviour and…”
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    Journal Article
  14. 14

    Spatial modeling of migration using GIS‐based multi‐criteria decision analysis: A case study of Iran by Mijani, Naeim, Shahpari Sani, Davoud, Dastaran, Mohsen, Karimi Firozjaei, Hamzeh, Argany, Meysam, Mahmoudian, Hossein

    Published in Transactions in GIS (01-04-2022)
    “…Spatial modeling of migration and the identification of the effective parameters are imperative for planning and managing demographic, economic, social, and…”
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    Journal Article
  15. 15

    DEVELOP A GIS-BASED CONTEXT-AWARE SENSOR NETWORK DEPLOYMENT ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN AN URBAN AREA by Argany, M., Mostafavi, M.-A.

    “…Adequate coverage is an important issue in geosensor networks in order to fulfill the sensing applications in urban areas. GIS as well as Optimization methods…”
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    Journal Article
  16. 16

    Voronoi-Based Approaches for Geosensor Networks Coverage Determination and Optimisation: A Survey by Argany, Meysam, Mostafavi, Mir Abolfazl, Karimipour, Farid

    “…Recent advances in sensors technology have led to design and development of variety of geosensor networks and their applications in many disciplines. Such…”
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    Conference Proceeding