Results 171 to 180 of about 51,613 (264)
Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing. [PDF]
Wang J, Li D.
europepmc +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
A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization. [PDF]
Li G, Liu P, Le C, Zhou B.
europepmc +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
MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization. [PDF]
Su L, Liu G, Bai T, Meng X, Ma Q.
europepmc +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
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
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
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
A Full AC Time‐Series Analysis of Photovoltaic Hosting Capacity in Niger's Grid
Methodological framework for PV hosting capacity assessment. ABSTRACT The integration of solar photovoltaic (PV) systems into sub‐Saharan African distribution grids presents a transformative opportunity to enhance energy access and sustainability. However, accurately quantifying the hosting capacity (HC), the maximum PV power that can be accommodated ...
Hamza Abarchi Halarou +5 more
wiley +1 more source

