Results 41 to 50 of about 4,846 (159)
International Journal of Climatology, EarlyView.Estimating water resources is important for regional climate impact analysis and risk estimation. The Middle East and Central Asia have largely reached the limit of sustainably usable water across their river basins and ecosystems. Strategies designed to mitigate environmental risks require a reliable estimation of water availability trends.
Paolo Reggiani +4 more
wiley +1 more source
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC
In an MPC-protected distributed computation, although the use of MPC assures data privacy during computation, sensitive information may still be inferred by curious MPC participants from the computation output. This can be observed, for instance, in the inference attacks on either federated learning or a more standard statistical computation with ...
Tjuawinata, Ivan +5 more
openaire +2 more sources
Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data
International Journal of Climatology, EarlyView.There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas +2 more
wiley +1 more source
International Journal of Climatology, EarlyView.Drought spatiotemporal propagation and direct driving variables are assessed at multiple time steps with high spatial resolution using various drought indices (SPI, SPEI and SPDI) and entropy based mutual information under an ensemble of climate change projections over Tunisia. ABSTRACT Projecting drought occurrence and spatiotemporal propagation under
Haykel Sellami
wiley +1 more source
Free Surface Waves in Electrohydrodynamics With a Prescribed Vorticity Distribution
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Traditionally, the study of free surface flows assumed irrotationality to simplify matters, and the results seemed to have great success, notably with the Korteweg‐de Vries(KdV) equation. In the past decade, there have been attempts to remove this seemingly strong condition and replace it with a global constant vorticity equivalent to a linear
M. J. Hunt, Denys Dutykh
wiley +1 more source
Personalized Differential Privacy for Ridge Regression Under Output Perturbation
Naval Research Logistics (NRL), EarlyView.ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya +3 more
wiley +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
Quarterly Journal of the Royal Meteorological Society, EarlyView.The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe +3 more
wiley +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source