Results 121 to 130 of about 282,422 (272)

Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex. [PDF]

open access: yesFront Neurosci, 2022
Jacokes Z   +16 more
europepmc   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

open access: yesAdvanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson   +3 more
wiley   +1 more source

Combining Feature Extraction Methods and Categorical Boosting to Discriminate the Lettuce Storage Time Using Near-Infrared Spectroscopy

open access: yesFoods
Lettuce is a kind of nutritious leafy vegetable. The lettuce storage time has a significant impact on its nutrition and taste. Therefore, to classify lettuce samples with different storage times accurately and non-destructively, this study built ...
Xuan Zhou   +3 more
doaj   +1 more source

Communications inspired linear discriminant analysis [PDF]

open access: yes
We study the problem of supervised linear dimensionality reduction, taking an information-theoretic viewpoint. The linear projection matrix is designed by maximizing the mutual information between the projected signal and the class label. By harnessing a
Calderbank, R   +4 more
core  

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino   +9 more
wiley   +1 more source

CSF‐Compartmentalized Antibody Glycoprofiles in NMDAR Encephalitis Associate with Etiology and Functional Recovery

open access: yesAnnals of Neurology, EarlyView.
Objective To characterize Fc‐glycosylation profiles in patients with anti‐N‐methyl‐D‐aspartate receptor encephalitis (NMDARe) and assess their association with antibody compartmentalization (cerebrospinal fluid [CSF] vs serum), disease triggers (viral, tumor‐related or idiopathic), and 1‐year outcomes.
Laura Marmolejo   +16 more
wiley   +1 more source

Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins. [PDF]

open access: yesPLoS Comput Biol, 2022
Romero JA   +4 more
europepmc   +1 more source

Near-infrared spectroscopy combined with fuzzy fast pseudoinverse linear discriminant analysis to discriminate mee tea grades

open access: yesHeliyon
Mee tea, one of the major types of green tea in China, is often used for export because of its elegant appearance, high fragrance and strong taste. However, the quality of tea differs greatly due to the difference in raw material selection and production
Bin Wu   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy