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08/25/2023
Federated Linear Bandit Learning via Over-the-Air Computation
In this paper, we investigate federated contextual linear bandit learnin...
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07/28/2023
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones
Tropical cyclones (TCs) are among the most destructive weather systems. ...
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11/24/2022
Joint modeling of wind speed and wind direction through a conditional approach
Atmospheric near surface wind speed and wind direction play an important...
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09/03/2022
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy
Data aggregation in the setting of local differential privacy (LDP) guar...
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05/03/2022
Station-wise statistical joint assessment of wind speed and direction under future climates across the United States
This study develops a statistical conditional approach to evaluate clima...
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03/23/2022
A Deep Learning Approach to Probabilistic Forecasting of Weather
We discuss an approach to probabilistic forecasting based on two chained...
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06/01/2021
A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples
Cybersecurity risk analysis plays an essential role in supporting organi...
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01/18/2021
Fast and accurate learned multiresolution dynamical downscaling for precipitation
This study develops a neural network-based approach for emulating high-r...
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10/12/2019
An Imputation model by Dirichlet Process Mixture of Elliptical Copulas for Data of Mixed Type
Copula-based methods provide a flexible approach to build missing data i...
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12/12/2017