Results 21 to 30 of about 2,991 (120)

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

800 kV Fast Circuit Breaker: Mechanical Coupling Modelling, Buffer Design and Development

High Voltage, EarlyView.
ABSTRACT The 800 kV fast circuit breaker (CB) used in ultra‐high voltage (UHV) converter transformer can reduce the total breaking time to 25 ms. It significantly improves the action speed and breaking capacity of the CB, with promising broad application prospects.
Enyuan Dong, Sheng Yin, Yu Tian, Liyan Zhang, Ruilei Gong, Kejia Xie, Zhibing Li   +6 more
wiley   +1 more source

Shaped electrodes for adaptive X‐ray optics

Journal of Synchrotron Radiation, EarlyView.
For adaptive X‐ray optics on high‐performance beamline optical systems, we describe an approach to mirror figure and slope control using patterned, shaped electrodes to control the local curvature on a lithium niobate substrate from a single applied voltage. Longitudinally continuous electrode patterns achieve target shapes without discontinuities, and
Kenneth A. Goldberg, Francesco Marzari, Grant D. Cutler   +2 more
wiley   +1 more source

Nest Survival Models and Genomics Illuminate Hybridisation Attempts, Guiding Culturally Informed Management to Recover a Critically Endangered Seabird

Animal Conservation, EarlyView.
Long‐term monitoring has revealed hybridisation attempts between the Critically Endangered Kuaka Whenua Hou (KWH, Pelecanoides whenuahouensis) and the abundant Kuaka (P. urinatrix). Here we use modelling based on population monitoring data in tandem with genomic data to investigate these attempts and the risk they pose to KWH recovery.
N. J. Forsdick, T. R. Buckley, T. Davis, I. Debski, J. H. Fischer   +4 more
wiley   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Monitoring wildlife health for diseases with visible signs by integrating camera traps with marked individuals

Conservation Biology, EarlyView.
Abstract Monitoring wildlife health is essential for conservation and management, wildlife and livestock welfare, and public health in a One Health framework. Yet, wildlife health monitoring often requires long‐term fieldwork and intensive sampling, which can be costly or logistically challenging, especially for remote, rare, or elusive populations. To
Jonathan Tichon, Roi Lapid, Roni King, Elyasaf Freiman, Orr Spiegel, Erez Baruchi, Aviam Atar, Shirli Bar‐David, David Saltz   +8 more
wiley   +1 more source

Inference via the Skewness‐Kurtosis Set

International Statistical Review, EarlyView.
Summary Kurtosis minus squared skewness is bounded from below by 1, but for unimodal distributions, this parameter is bounded by 189/125. In some applications, it is natural to compare distributions by comparing their kurtosis‐minus‐squared‐skewness parameters. The asymptotic behavior of the empirical version of this parameter is studied here for i.i.d.
Chris A. J. Klaassen, Bert van Es
wiley   +1 more source

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

International Statistical Review, EarlyView.
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo, Domingo Morales, Nicola Salvati, Francesco Schirripa Spagnolo   +3 more
wiley   +1 more source