Comparative evaluation of deep learning and traditional models for predicting traffic accident severity in Saudi Arabia. [PDF]
Alanazi F, Umar IK, Yosri AM, Okail MA.
europepmc +1 more source
(WP 2005-04) The Effects of Ignoring Train Whistle Bans on Residential Property Values [PDF]
Clark, David E.
core +1 more source
Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale +2 more
wiley +1 more source
DSRR model for safety vulnerability assessment of power grid infrastructure in Henan Province China. [PDF]
Liu L, Wang H, Li J, Ren X.
europepmc +1 more source
Market Perceptions of ESG Reputational Risk in the US Pharmaceutical Industry
ABSTRACT Negative ESG‐related reputational events generate significant corporate risks, particularly within sensitive sectors such as the pharmaceutical industry. Using novel reputational data, this research investigates investor perceptions of the consequences of experienced ESG breaches among US pharmaceutical firms.
Erdinc Akyildirim +3 more
wiley +1 more source
Research on vehicle accident hazard scenario derivation based on improved AST. [PDF]
Zhou H +7 more
europepmc +1 more source
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim +5 more
wiley +1 more source
Shield construction safety risks and their interrelations analysis of subway tunnel undercrossing a river based on Grey-DEMATEL-ISM. [PDF]
Xue Y, Luo X, Li H, Liu J.
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Perception based investigation exploring recurrence of violations by motorist and non-motorist at rail road grade crossings. [PDF]
Vivek AK, Mohapatra SS, Khan T.
europepmc +1 more source

