Results 221 to 230 of about 5,923,968 (244)

Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study. [PDF]

JMIR Med Inform
Sun J, Wang J, Dong Y, Liu J, Ding Y, Fan S, Chen D, Shou S.   +7 more
europepmc   +1 more source

Dynamic Tear Film Stability Assessed via an Open-View Double-Pass Imaging System. [PDF]

Ophthalmic Physiol Opt
Tsoukalas S, Pennos A, Bonel Pla C, Charonis A, Artal P, Ginis H, Christaras D.   +6 more
europepmc   +1 more source

Machine learning algorithms to accelerate etiological diagnosis of congenital disorders of adrenal steroidogenesis.

J Clin Endocrinol Metab
Gurpinar Tosun B, Ercetin AN, Turan S, Bereket A, Arga KY, Guran T.   +5 more
europepmc   +1 more source

Space Objects Classification via Light-Curve Measurements Using Deep Convolutional Neural Networks

Journal of the Astronautical Sciences, 2020
This work presents a data-driven method for the classification of light curve measurements of Space Objects (SOs) based on a deep learning approach. Here, we design, train, and validate a Convolutional Neural Network (CNN) capable of learning to classify
Roberto Furfaro, Richard Linares, Vishnu Reddy   +2 more
exaly   +2 more sources

Attitude motion classification of resident space objects using light curve spectral analysis

Advances in Space Research
The characterization of Earth-orbiting objects in terms of attitude motion, material composition, and shape is crucial for Space Domain Awareness. In this respect, light curves, i.e., graphs showing the brightness variation of space objects over a ...
Giancarmine Fasano
exaly   +2 more sources

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A transfer learning approach to space debris classification using observational light curve data

Acta Astronautica, 2021
Mitch Bryson, Lloyd Windrim, James Allworth   +2 more
exaly