Results 181 to 190 of about 332,730 (283)
ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang +2 more
wiley +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
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Defining the end point of status epilepticus: A scoping review and framework for standardization
Abstract Status epilepticus (SE) is a life‐threatening neurological emergency with consensus‐driven definitions for onset but no standardized criteria for its end point. This gap creates uncertainty in research and clinical practice. We conducted a scoping review to evaluate how end points have been defined in SE research and to identify key areas of ...
Fawad A. Khan +6 more
wiley +1 more source
Abstract Sudden unexpected death in epilepsy (SUDEP) affects more than 3000 individuals annually, yet objective and scalable biomarkers to assess risk remain limited. Postictal generalized electroencephalogram suppression (PGES) has been proposed as a potential biomarker, but its quantification is often subjective and variable.
Steve D. Reddy +3 more
wiley +1 more source
In-situ efficiency and parameter estimation for induction motors using heuristic optimization. [PDF]
Göztaş M, Sahman MA, Çunkaş M.
europepmc +1 more source
Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman +3 more
wiley +1 more source
Direction aware and self-adaptive A* algorithm with PPO heuristic for UAV path planning of smart city. [PDF]
Zhang X, Tan L, Chai J.
europepmc +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]
Qi L, Lv C, Zhang T, Wang Y.
europepmc +1 more source

