3 papers
eess.IV2024
Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings
Kelsey Doerksen, Casper Fibaek, Rochelle Schneider +2
Internet connectivity in schools is critical to provide students with the digital literary skills necessary to compete in modern economies. In order for governments to effectively…
cs.CV2024
Machine Learning for Methane Detection and Quantification from Space - A survey
Enno Tiemann, Shanyu Zhou, Alexander Kläser +3
Methane () is a potent anthropogenic greenhouse gas, contributing 86 times more to global warming than Carbon Dioxide () over 20 years, and it also acts as an air pollu…
physics.data-an2024
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
Patrick Ebel, Brandon Victor, Peter Naylor +3
Hurricanes and coastal floods are among the most disastrous natural hazards. Both are intimately related to storm surges, as their causes and effects, respectively. However, the sh…