Results 151 to 160 of about 297,161 (352)
Efficient fault diagnosis of helicopter gearboxes [PDF]
Application of a diagnostic system to a helicopter gearbox is presented. The diagnostic system is a nonparametric pattern classifier that uses a multi-valued influence matrix (MVIM) as its diagnostic model and benefits from a fast learning algorithm that
Chin, H., Danai, K., Lewicki, D. G.
core +1 more source
Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif +17 more
wiley +1 more source
Fault Diagnosis of Sensors Using Vector Gradient Method
, 1984 Toshihiko Ono +2 more
openalex +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun +21 more
wiley +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano +5 more
wiley +1 more source
On the development of a knowledge-based system for fault diagnosis of a chemical plant.
, 1989 Shigeyuki Tomita +2 more
openalex +2 more sources
Investigation of candidate data structures and search algorithms to support a knowledge based fault diagnosis system [PDF]
The focus of this research is the investigation of data structures and associated search algorithms for automated fault diagnosis of complex systems such as the Hubble Space Telescope.
Bosworth, Edward L., Jr.
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan +46 more
wiley +1 more source