Global ETD Search

Predicting Flood Risks to City Infrastructure Systems Utilizing Scalable, Time Sensitive Modeling

Boukin, KaterinaMassachusetts Institute of Technology2025

… the common practice simply changed the flood modeling to pluvial oriented, keeping the rest of the risk tool components identical for the different flood mechanisms. For pluvial flooding, existing urban flood modeling tools such as SWMM and PC-SWMM are limited by their catchment-based …

mit Repository record for Predicting Flood Risks to City Infrastructure Systems Utilizing Scalable, Time Sensitive Modeling (opens in a new tab)

Advanced boundary-enhanced instance segmentation and spatial-temporal transformer models for automated schizophrenic investigation

Imarhiagbe, Osasumwen Raphael, University of Lethbridge. Faculty of Arts and Science2025

lethbridge

Machine Learning Methods for Decision Making Inference in Healthcare

Ma, SiminGeorgia Institute of Technology2023

Machine learning algorithms are widely regarded as disruptive innovations. They have demonstrated superior performance in many complex domains, such as computer visions, signal processing and natural language processing. One area, in particular, in which machine learning has potential widespread …

gatech Repository record for Machine Learning Methods for Decision Making Inference in Healthcare (opens in a new tab)