Results 271 to 280 of about 634,254 (363)
Algorithms and approximations for the modified Weibull model under censoring with application to the lifetimes of electrical appliances. [PDF]
Ramzan Q +4 more
europepmc +1 more source
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
An Epidemiologic Approach for Estimating Risk Reduction and Asymptotic Power on the Log-Difference Scale. [PDF]
Efird JT.
europepmc +1 more source
Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning
ABSTRACT Accelerated life tests (ALTs) are essential tools for estimating product reliability under high‐stress conditions, allowing failure data to be collected in reduced timeframes. However, planning effective ALT configurations is a complex task that requires selecting stress levels, test durations, and unit allocations while accounting for limited
Allan Jonathan da Silva +3 more
wiley +1 more source
Inferential procedures for random effects in generalized linear mixed models. [PDF]
Ning X, Hui FKC, Welsh A.
europepmc +1 more source
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley +1 more source
Multicomponent stress-strength reliability analysis using the inverted exponentiated rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records. [PDF]
Newer HA.
europepmc +1 more source
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
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 +5 more
wiley +1 more source

