Results 41 to 50 of about 22,566 (155)

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

The correlation between sanction adjustments and drunk‐driving violations and related outcomes in Taiwan: A nationwide interrupted time series analysis

Addiction, EarlyView.
Abstract Background and aims Drunk‐driving accounts for a significant portion of traffic crashes in Taiwan. From 2008 to 2013, both the Taiwan Legislative Yuan and the federal administrative agencies collaborated to increase drunk‐driving penalties.
Ling‐Wei Kuo, Chien‐An Liao, Chi‐Tung Cheng, Chien‐Hung Liao, Chih‐Po Hsu, Chih‐Yuan Fu, Shih‐Ching Kang, Brett Olin, Chun‐Shiang Yang, Jen‐Fu Huang   +9 more
wiley   +1 more source

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

International Transactions in Operational Research, EarlyView.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß   +3 more
wiley   +1 more source

Reduced order modelling of air‐puff test for corneal material characterisation

Journal of Microscopy, EarlyView.
Abstract Models of the fluid–structure interaction (FSI) model for the air‐puff test were analysed. Using Abaqus, the air‐puff test is applied to eyes with varying biomechanical parameters, such as material properties, corneal thickness, and radius.
Osama M. Maklad, Muting Hao
wiley   +1 more source

Ricci surfaces

, 2012
A Ricci surface is a Riemannian 2-manifold $(M,g)$ whose Gaussian curvature $K$ satisfies $K\Delta K+g(dK,dK)+4K^3=0$. Every minimal surface isometrically embedded in $\mathbb{R}^3$ is a Ricci surface of non-positive curvature.
Moroianu, Andrei, Moroianu, Sergiu
core   +2 more sources

Monitoring panels of sparse functional data

Journal of Time Series Analysis, EarlyView.
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta, Agnieszka Jach, Piotr Kokoszka   +2 more
wiley   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

Journal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta, Barbora Peštová, Martin Romaňák   +2 more
wiley   +1 more source

The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach

Journal of Time Series Analysis, EarlyView.
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley   +1 more source

Enhancing stroke risk stratification in atrial fibrillation through non‐Newtonian blood modelling and Gaussian process emulation

The Journal of Physiology, EarlyView.
Abstract figure legend Non‐Newtonian modelling and GPEs for stroke risk in atrial fibrilation patients. Abstract Atrial fibrillation (AF) is the most common heart arrhythmia, linked to a five‐fold increase in stroke risk. The left atrial appendage (LAA), prone to blood stasis, is a common thrombus formation site in AF patients.
Paolo Melidoro, Abdel Rahman Amr Sultan, Ahmed Qureshi, Magdi H. Yacoub, Khalil L. Elkhodary, Gregory Y. H. Lip, Natalie Montarello, Nishant Lahoti, Ronak Rajani, Magdalena Klis, Steven E. Williams, Oleg Aslanidi, Adelaide De Vecchi   +12 more
wiley   +1 more source

Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons

Communications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1151-1298, May 2026.
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley   +1 more source