Results 201 to 210 of about 8,530 (262)

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Properties of Residual Cumulative Sharma-Taneja-Mittal Model and Its Extensions in Reliability Theory with Applications to Human Health Analysis and Mixed Coherent Mechanisms. [PDF]

Entropy (Basel)
Mohamed MS, Sakr HH.
europepmc   +1 more source

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley   +1 more source

A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals. [PDF]

Psychometrika
Sung Y, Han Y, Liu Y.
europepmc   +1 more source

Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments

Journal of Field Robotics, EarlyView.
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun, Licheng Feng, Yueqi Wang, Kai Zhao, Binghao Li, Liao Wu   +5 more
wiley   +1 more source

Pseudo-Observation Approach for Length-Biased Cox Proportional Hazards Model. [PDF]

Biom J
Akbari M, Rad NN, Chen DG.
europepmc   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

A general form of covariate adjustment in clinical trials under covariate-adaptive randomization. [PDF]

Biometrika
Bannick MS, Shao J, Liu J, Du Y, Yi Y, Ye T.   +5 more
europepmc   +1 more source

Critical shear crack shapes in slender reinforced concrete beams with and without shear reinforcement

Structural Concrete, EarlyView.
Abstract The accurate prediction of the shear capacity of reinforced concrete underpins the efficient and safe design of concrete buildings and infrastructure. Disagreement remains about shear mechanisms and the modeling of shear resistance. For slender beams without shear reinforcement, critical shear crack (CSC) models have attracted interest.
Hasini C. Weerasinghe, Janet M. Lees
wiley   +1 more source

Statistical inference on high-dimensional covariate-dependent Gaussian graphical regressions. [PDF]

Biometrics
Meng X, Zhang J, Li Y.
europepmc   +1 more source