Fiber-distance-based unsupervised clustering of MR tractography data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108361
Abstract: BACKGROUND MR tractography from diffusion tensor imaging provides a non-invasive way to explore white matter pathways in the human brain. However, a challenge to extracting reliable anatomical information from these data is the use of… read more here.
Keywords: tractography; fiber distance; unsupervised clustering; dbscan based ... See more keywords
Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8081325
Abstract: As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction Model (HPM), which can provide early prediction of type… read more here.
Keywords: diabetes hypertension; based outlier; dbscan based; outlier detection ... See more keywords
DBSCAN-Based Thermal Runaway Diagnosis of Battery Systems for Electric Vehicles
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12152977
Abstract: Battery system diagnosis and prognosis are essential for ensuring the safe operation of electric vehicles (EVs). This paper proposes a diagnosis method of thermal runaway for ternary lithium-ion battery systems based on the Density-Based Spatial… read more here.
Keywords: diagnosis; dbscan based; thermal runaway; electric vehicles ... See more keywords