Speech Based Estimation of Parkinson's Disease Using Gaussian Processes and Automatic Relevance Determination
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.058
Abstract: Abstract Parkinson’s disease is a progressive neurodegenerative disorder often accompanied by impairment in articulation, phonation, prosody and fluency of speech. In fact, speech impairment is one of the earliest Parkinson’s disease symptoms, and may be… read more here.
Keywords: gaussian processes; relevance determination; disease; parkinson disease ... See more keywords
Automatic Relevance Determination of Adaptive Variational Bayes Sparse Decomposition for Micro-Cracks Detection in Thermal Sensing
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DOI: 10.1109/jsen.2017.2722465
Abstract: Induction thermography has been applied as an emerging non-destructive testing and evaluation technique for a wide range of conductive materials. The infrared vision sensing acquired image sequences contain valuable information in both spatial and time… read more here.
Keywords: relevance determination; detection; adaptive variational; variational bayes ... See more keywords
Gaussian Process With Automatic Relevance Determination Predictive Model for Energy Management of Electric Direct-Drive Wheels: Experimental Validation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2023.3316917
Abstract: Energy consumption by direct-driven electric in-wheel motors is massively crucial for optimized power management. Commercial electric vehicles invariably demand higher power contents because of the surface state and operating conditions. Gaussian process regression (GPR) models… read more here.
Keywords: energy; automatic relevance; gaussian process; management ... See more keywords