Large Language Model Performance on Practice Epilepsy Board Examinations.
Sign Up to like & getrecommendations! Published in 2024 at "JAMA neurology"
DOI: 10.1001/jamaneurol.2024.0676
Abstract: This diagnostic study examines whether large language models are able to pass practice licensing examinations for epilepsy. read more here.
Keywords: large language; model performance; language model; language ... See more keywords
An adaptive modeling approach using spiking-augmentation method to improve chemometric model performance in bioprocess monitoring.
Sign Up to like & getrecommendations! Published in 2023 at "Biotechnology progress"
DOI: 10.1002/btpr.3349
Abstract: Intensified and continuous processes require fast and robust methods and technologies to monitor product titer for faster analytical turnaround time, process monitoring, and process control. The current titer measurements are mostly offline chromatography-based methods which… read more here.
Keywords: adaptive modeling; titer; model performance; model ... See more keywords
Evaluating multiple predictive models for beach management at a freshwater beach in the Great Lakes region.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of environmental quality"
DOI: 10.1002/jeq2.20107
Abstract: Recreational water quality is currently monitored at Sandpoint Beach on Lake St. Clair using culture-based enumeration of Escherichia coli. Using water quality and weather data collected over 4 yr, several multiple linear regression (MLR)-based models… read more here.
Keywords: beach; mlr models; evaluating multiple; model performance ... See more keywords
Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain.
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric environment"
DOI: 10.1016/j.atmosenv.2016.10.048
Abstract: The regulatory Community Multiscale Air Quality (CMAQ) model is a means to understanding the sources, concentrations and regulatory attainment of air pollutants within a model's domain. Substantial resources are allocated to the evaluation of model… read more here.
Keywords: error; model performance; air; model ... See more keywords
Optimization of high resolution COSMO model performance over Switzerland and Northern Italy
Sign Up to like & getrecommendations! Published in 2018 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2018.05.026
Abstract: Abstract In our previous work, a practicable objective three-parameter multivariate calibration method build on a quadratic meta-model was introduced leading to the optimization of COSMO model. The process had been applied initially for a regional… read more here.
Keywords: switzerland northern; northern italy; cosmo model; model performance ... See more keywords
Predicting physician burnout using clinical activity logs: Model performance and lessons learned
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2022.104015
Abstract: BACKGROUND Burnout is a significant public health concern affecting more than half of the healthcare workforce; however, passive screening tools to detect burnout are lacking. We investigated the ability of machine learning (ML) techniques to… read more here.
Keywords: burnout using; burnout score; performance; model performance ... See more keywords
Evaluating SWAT model performance, considering different soils data input, to quantify actual and future runoff susceptibility in a highly urbanized basin.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2020.110625
Abstract: The Soil and Water Assessment Tool (SWAT) is a physical model designed to predict the hydrological processes that could characterize natural and anthropized watersheds. The model can be forced using input data of climate prediction… read more here.
Keywords: susceptibility; swat model; model performance; model ... See more keywords
Unified Thermodynamic Model for Performance Prediction of Adiabatic Feedstock Gasifiers
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.0c03703
Abstract: A unified thermodynamic modeling approach for feedstock gasification under adiabatic conditions at the carbon boundary point (CBP) using O2, steam, or/and CO2 as gasification agents is proposed by ... read more here.
Keywords: prediction adiabatic; unified thermodynamic; feedstock; model performance ... See more keywords
Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-88103-3
Abstract: Numerous studies have proven the potential of deep learning models for classifying wildlife. Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. Although deep learning… read more here.
Keywords: classification; deep learning; model performance; model ... See more keywords
Model performance assessment in resilient modulus modelling: a multimodel approach
Sign Up to like & getrecommendations! Published in 2020 at "Road Materials and Pavement Design"
DOI: 10.1080/14680629.2020.1753100
Abstract: Implementation of the trending mechanistic-empirical pavement design guide for resilient modulus ( ) estimation, often requires the use of models. The present study proposes a multimodel approach for model performance assessment amongst various stress-based models,… read more here.
Keywords: model performance; resilient modulus; multimodel approach; approach ... See more keywords
Evaluating well-mixed room and near-field–far-field model performance under highly controlled conditions
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Occupational and Environmental Hygiene"
DOI: 10.1080/15459624.2017.1285492
Abstract: ABSTRACT Exposure judgments made without personal exposure data and based instead on subjective inputs tend to underestimate exposure, with exposure judgment accuracy not significantly more accurate than random chance. Therefore, objective inputs that contribute to… read more here.
Keywords: field; exposure; model performance; model ... See more keywords