Search Results - "Vos, Etienne"

DeepSource : point source detection using deep learning by Vafaei Sadr, A, Vos, Etienne E, Bassett, Bruce A, Hosenie, Zafiirah, Oozeer, N, Lochner, Michelle

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Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol by Jack, Christopher, Parker, Craig, Kouakou, Yao Etienne, Joubert, Bonnie, McAllister, Kimberly A, Ilias, Maliha, Maimela, Gloria, Chersich, Matthew, Makhanya, Sibusisiwe, Luchters, Stanley, Makanga, Prestige Tatenda, Vos, Etienne, Ebi, Kristie L, Koné, Brama, Waljee, Akbar K, Cissé, Guéladio, Tall, Abdoulaye, Vanga, Adja Ferdinand, Mahlasi, Craig, Dely, Iba Dieudonné, Mashiyane, James, Aardenne, Lisa van, Doumbia, Madina, Brink, Nicholas, Kloppers, Pierre, Wolski, Piotr, Makhanya, Sibusisiwe, Govindasamy, Tamara, Kurien, Toby

“…IntroductionAfrican cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded…”
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NEW MODELING OF GALACTIC PROTON MODULATION DURING THE MINIMUM OF SOLAR CYCLE 23/24 by Vos, Etienne E., Potgieter, Marius S.

“…ABSTRACT During the recent prolonged solar minimum of cycle 23/24, the PAMELA detector measured 27-day averaged Galactic proton energy spectra over the energy…”
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A Generative Machine Learning Approach to RFI Mitigation for Radio Astronomy by Vos, Etienne E., Francois Luus, P. S., Finlay, Chris J., Bassett, Bruce A.

“…Radio astronomy is a vital tool for astronomers to study the Universe and has seen a wave of renewed interest and advancement over recent years…”
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DeepSource: Point Source Detection using Deep Learning by Sadr, A. Vafaei, Vos, Etienne. E, Bassett, Bruce A, Hosenie, Zafiirah, Oozeer, N, Lochner, Michelle

“…MNRAS, Volume 484, Issue 2, April 2019, Pages 2793-2806 Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in…”
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Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE 2 AT Center study protocol by Jack, Christopher, Parker, Craig, Kouakou, Yao Etienne, Joubert, Bonnie, McAllister, Kimberly A, Ilias, Maliha, Maimela, Gloria, Chersich, Matthew, Makhanya, Sibusisiwe, Luchters, Stanley, Makanga, Prestige Tatenda, Vos, Etienne, Ebi, Kristie L, Koné, Brama, Waljee, Akbar K, Cissé, Guéladio

“…African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by…”
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Detection and Characterization of Urban Heat Islands with Machine Learning by Bhamjee, Muaaz, Debary, Hiyam, Gaffoor, Zaheed, Govindasamy, Tamara, Mahlasi, Craig, Fiaz, Mustansar, Vos, Etienne, Klein, Levente, Makhanya, Sibusisiwe, Watson, Campbell, Kuehnert, Julian

“…Assessing and understanding the urban scale impacts of extreme climate events is a global necessity. Risks associated with heat, where intra-urban dynamics and…”
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AI Foundation Model for Heliophysics: Applications, Design, and Implementation by Roy, Sujit, Singh, Talwinder, Freitag, Marcus, Schmude, Johannes, Lal, Rohit, Hegde, Dinesha, Ranjan, Soumya, Lin, Amy, Gaur, Vishal, Vos, Etienne Eben, Ghosal, Rinki, Patro, Badri Narayana, Aydin, Berkay, Pogorelov, Nikolai, Moreno, Juan Bernabe, Maskey, Manil, Ramachandran, Rahul

“…Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data…”
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Long-Range Seasonal Forecasting of 2m-Temperature with Machine Learning by Vos, Etienne E, Gritzman, Ashley, Makhanya, Sibusisiwe, Mashinini, Thabang, Watson, Campbell D

“…A significant challenge in seasonal climate prediction is whether a prediction can beat climatology. We hereby present results from two data-driven models - a…”
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Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion by Wong, Ken C. L, Wang, Hongzhi, Vos, Etienne E, Zadrozny, Bianca, Watson, Campbell D, Syeda-Mahmood, Tanveer

“…Global warming leads to the increase in frequency and intensity of climate extremes that cause tremendous loss of lives and property. Accurate long-range…”
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