Faculty of Geo-Information Science and Earth Observation (ITC), Department of Geo-information Processing (GIP)Publicaties
Recent
Asgari, M., Yang, W.
, & Farnaghi, M. (2022).
Spatiotemporal data partitioning for distributed random forest algorithm: Air quality prediction using imbalanced big spatiotemporal data on spark distributed framework.
Environmental Technology and Innovation,
27, [102776].
https://doi.org/10.1016/j.eti.2022.102776
Boroumand, F., Alesheikh, A. A., Sharif, M.
, & Farnaghi, M. (2022).
FLCSS: A fuzzy-based longest common subsequence method for uncertainty management in trajectory similarity measures.
Transactions in GIS,
26(5), 2244-2262.
https://doi.org/10.1111/tgis.12958
Ghaemi, Z.
, & Farnaghi, M. (2021).
Event detection from geotagged tweets considering spatial autocorrelation and heterogeneity.
Journal of spatial science, 1-19.
https://doi.org/10.1080/14498596.2021.2002201
Aturinde, A.
, Farnaghi, M., Pilesjö, P., Sundquist, K., & Mansourian, A. (2021).
Spatial analysis of ambient air pollution and cardiovascular disease (CVD) hospitalization across Sweden.
GeoHealth,
5(5), 1-20. [e2020GH000323].
https://doi.org/10.1029/2020gh000323
Faramarzi, H., Hosseini, S. M., Pourghasemi, H. R.
, & Farnaghi, M. (2021).
Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation.
Journal of Forest Science,
67(2), 87-100.
https://doi.org/10.17221/50/2020-JFS
Hansson, E., Mansourian, A.
, Farnaghi, M., Petzold, M., & Jakobsson, K. (2021).
An ecological study of chronic kidney disease in five Mesoamerican countries: associations with crop and heat.
BMC public health,
21, 1-10. [840].
https://doi.org/10.1186/s12889-021-10822-9
Taheri, M.
, Farnaghi, M., Alimohammadi, A., Moradi, P., & Khoshahval, S. (2021).
Point-of-interest recommendation using extended random walk with restart on geographical-temporal hybrid tripartite graph.
Journal of spatial science, 1-19.
https://doi.org/10.1080/14498596.2021.1896392
Yousefzadeh, M., Hosseini, S. A.
, & Farnaghi, M. (2021).
Spatiotemporally explicit earthquake prediction using deep neural network.
Soil Dynamics and Earthquake Engineering,
144, 1-11. [106663].
https://doi.org/10.1016/j.soildyn.2021.106663
Farnaghi, M., Ghaemi, Z., & Mansourian, A. (2020).
Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence.
International Journal of Disaster Risk Science,
11, 378-393.
https://doi.org/10.1007/s13753-020-00280-z
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Vakken Collegejaar 2022/2023
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2021/2022
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Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(gebouwnr. 75)
Hengelosestraat 99
7514AE Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC
Postbus 217
7500 AE Enschede