Detecting cervical spondylosis using deep learning
Read More...The effects of image manipulation on classification of cervical spondylosis X-ray images using deep learning
Analysis of content created by dental influencers on TikTok and its impact on society
The authors looked at common themes of videos created by 10 different dental influencers.
Read More...Analysis of antibiotic resistance genes in publicly accessible Staphylococcus aureus genomes
The authors looked at how the presence of difference antibiotic resistance genes would influence antibiotic resistance in Staphylococcus aureus.
Read More...Drought prediction in the Midwestern United States using deep learning
The authors studied the ability of deep learning models to predict droughts in the midwestern United States.
Read More...Analysis of quantitative classification and properties of X-ray binary systems
The authors looked at variables and their patterns and how those contribute to the properties of X-ray binaries.
Read More...Sloan green and red photometry of the Type Ia supernova 2024neh
Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh
Read More...Study of neural network parameters in detecting heart disease
The authors looked at the ability to detect heart disease before the onset of severe clinical symptoms.
Read More...Predicting voting and union support in certification elections: Evidence from Starbucks workers, 2021-2024
The authors looked at unionization petitions from Starbucks workers between August 2021 and July 2024 to determine what factors influence votes for or against unionization.
Read More...Gene expression analysis of febrile seizure’s impact on mesial temporal lobe epilepsy
The authors looked at genes that were differentially expressed in patients who had and had not had febrile seizures to determine what differences in gene expression existed.
Read More...Deep sequential models versus statistical models for web traffic forecasting
The authors looked at ways to provide better forecasting on website traffic. They found that deep learning models performed better than statistical models.
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