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Maryam Rahbaralam
Maryam Rahbaralam
Data Scientist, Barcelona Super Computing Centre
Verified email at bsc.es
Title
Cited by
Cited by
Year
Do we really need a large number of particles to simulate bimolecular reactive transport with random walk methods? A kernel density estimation approach
M Rahbaralam, D Fernandez-Garcia, X Sanchez-Vila
Journal of Computational Physics 303, 95-104, 2015
352015
Effect of temperature on the transmission of COVID-19: A machine learning case study in Spain
A Abdollahi, M Rahbaralam
MedRxiv, 2020.05. 01.20087759, 2020
232020
Predictive analytics for water asset management: machine learning and survival analysis
M Rahbaralam, D Modesto, J Cardús, A Abdollahi, FM Cucchietti
arXiv preprint arXiv:2007.03744, 2020
52020
Stochastic modeling of non-linear adsorption with Gaussian kernel density estimators
M Rahbaralam, A Abdollahi, D Fernàndez-Garcia, X Sanchez-Vila
arXiv preprint arXiv:2004.06445, 2020
22020
Effect of Temperature on the Transmission of COVID-19: A Machine Learning Case Study in Spain (preprint)
A Abdollahi, M Rahbaralam
2020
Machine Learning Framework for the sustainable management of main water supply assets
M Rahbaralam
5th International Big Data & AI Congress, Barcelona, Spain, 2019
2019
From Data to Decision: A Machine Learning Framework for Predictive Maintenance of Barcelona Water Distribution Network
M Rahbaralam
Barcelona Super Computing Centre, Barcelona Graduate School of Economics, 2019
2019
Modeling of reactive transport with particle tracking and kernel density estimators
M Rahbaralam
Universitat Politècnica de Catalunya, 2018
2018
Modelling of adsorption isotherms using kernel density estimators
SV M.,Rahbaralam, D., Fernandez-Garcia, X.
9th International Conference on Porous Media (Interpore), Rotterdam, Netherlands, 2017
2017
Modeling reactive transport with particle tracking and kernel estimators
M Rahbaralam, D Fernandez-Garcia, X Sanchez-Vila
EGU General Assembly Conference Abstracts, 15888, 2015
2015
Modelling of reactive transport in groundwater using Kernel Density Estimators
R M.
7th International Groundwater Symposium, Perugia, Italy, 2014
2014
Assessment Indices of Water Resources Criteria Effective on Desertification using IMDPA model and GIS
RF M.Rahbaralam, Gh.Zehtabian
International Soil Science congress on Land Degradation and Challenges in …, 2012
2012
Evaluation of current desertification status with emphasis on the water, vegetation and soil criteria using AHP and IMDPA models
JWM Research
2012
Estimation of carbon sequestration capacity in the planted region with Atriplex canescens
H. Gholami, H.Azarnivand , H.Madah-E-Arefi , M.Rahbaralam
Journal of Watershed Management Research, 23-30, 2011
2011
Evaluation of Desertification Intensity Using Analytic Hierarchy Process (AHP) and Multi-Criteria Decision Making (MCDM) Methods
HG M.,Rahbaralam, Gh.R.Zehtabian, S.R.Fallah Shams
Journal of Advances in Environmental Biology, 2011
2011
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Articles 1–15