Transforming the automotive industry: Defining, clustering, and efficiency analysis of the next-generation automotive ecosystem. [PDF]
Shon M, Kim J, Kim H.
europepmc +1 more source
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu +5 more
wiley +1 more source
Autism spectrum disorder burden across 798 locations, 1990-2023: frontier and inequality mapping in the context of child injury prevention and safety promotion. [PDF]
Liang X +14 more
europepmc +1 more source
We used spatially explicit capture‐recapture to estimate jaguar densities in a private reserve in the Colombian Llanos and quantified land cover change in and around the reserve from 2014 to 2024. Densities increased 22% since 2014, while disturbed land cover increased by 39%–54% around the reserve depending on buffer distance. Our study indicates that
Valeria Boron +7 more
wiley +1 more source
Oxygenation and Spatial Heterogeneity Shape Radiotherapy Protocol Ranking Through Phenotypic Adaptation. [PDF]
Albanese F, Chiari G, Delitala ME.
europepmc +1 more source
Future Challenges and Opportunities for the Viability of Animal Populations in Zoos and Aquariums
ABSTRACT Maintaining sustainable animal populations is fundamental to zoo and aquarium missions in education, visitor engagement, entertainment, scientific advancement, public health and wellbeing, advocacy, and conservation impact. Yet, sustaining viable populations remains a persistent challenge.
Lisa J. Faust +18 more
wiley +1 more source
Multimodal Branched Transport Infers Anatomically Aligned Brain Reaction Maps. [PDF]
Mendico C.
europepmc +1 more source
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley +1 more source
Correlation-controlled stochastic computing for low-power FIR and IIR filters in edge DSP. [PDF]
Krishna R +4 more
europepmc +1 more source
Development of a Framework for Evaluating Large Language Model Safety and Reliability: a Proof-of-Concept Evaluation. [PDF]
Liu F +6 more
europepmc +1 more source

