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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Hassanzadeh, E., Nazemi, A., & Adamowski, J. (2021, November). Comparison of Continuous and Quantile-Based Downscaling Approaches to Evaluate the Climate Change Impacts on Characteristics of Extreme Rainfall [Paper]. Geo-Extreme 2021, Savannah, Georgia. External link
Hassanzadeh, E., Nazemi, A., & Adamowski, J. (2019, July). Estimating future Intensity-Duration-Frequency curves using continuous and quantile-based downscaling [Presentation]. In 27th IUGG General Assembly (IUGG 2019), Montréal, Canada. Unavailable
Hassanzadeh, E., Nazemi, A., Adamowski, J., Nguyen, T.-H., & Van-Nguyen, V.-T. (2019). Quantile-based downscaling of rainfall extremes: Notes on methodological functionality, associated uncertainty and application in practice. Advances in Water Resources, 131, 13 pages. External link
Malard, J., Baig, A. I., Díaz, M. R., Hassanzadeh, E., Adamowski, J., Tuy, H., & Melgar-Quiñonez, H. (2017, April). Tinamit: Making Coupled System Dynamics Models Accessible to Stakeholders [Poster]. General Assembly of the European Geosciences Union (EGU 2017), Vienna, Austria. Unavailable
Baig, A. I., Malard, J. J., Hassanzadeh, E., Adamowski, J., Tuy, H., & Melgar-Quiñonez, H. (2016, December). Design of soil salinity policies with Tinamit, a flexible and rapid tool to couple stakeholder-built system dynamics models with physically-based models [Poster]. American Geophysical Union, Fall Meeting 2016, San Francisco, USA. External link
Khalil, B., Broda, S., Adamowski, J., Ozga-Zieliński, B., & Donohoe, A. (2015). Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models. [Prévision à court terme des niveaux d’eau souterraine sous conditions de recharge au travers de terrils miniers utilisant des modèles d’ensemble d’ondelettes et de réseaux neuronaux]. Hydrogeology Journal, 23(1), 121-141. External link
Daneshmand, F., Adamowski, J., & Liaghat, T. (2014). Bottom outlet dam flow: Physical and numerical modelling. Proceedings of the Institution of Civil Engineers: Water Management, 167(3), 176-184. External link