Results 231 to 240 of about 1,019,412 (300)

Real-Time Subject-Specific Predictive Modeling of PPG Signals for Artifact-Resilient SpO2 Estimation Under Hypoxia. [PDF]

Sensors (Basel)
Badiola I, Balaji S, Silva D, Blazek V, Leonhardt S, Lüken M.   +5 more
europepmc   +1 more source

Validation of <i>ITPR2</i>, <i>DPF3</i>, <i>EPAS1</i>, and <i>PVT1</i>-associated SNPs as biomarkers for RCC in an independent case-control cohort. [PDF]

Front Med (Lausanne)
Morales-Álvarez CM, Jiménez-Domínguez AC, Rios-Pelegrina RM, Arance E, Marín-Benesiu F, Vázquez-Alonso F, Martínez-González LJ, Álvarez-Cubero MJ.   +7 more
europepmc   +1 more source

Single-cell and bulk transcriptome analyses revealed the role of macrophage cholesterol metabolism in atherosclerosis. [PDF]

Lipids Health Dis
Ke J, Chen S, Li L, Liao C, Peng F, Chai D, Lin J.   +6 more
europepmc   +1 more source

Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons. [PDF]

Sci Rep
Hassan AA, Atia DM, El-Madany HT, ElGhannam F.   +3 more
europepmc   +1 more source

Development and interpretability of an XGBoost model to predict high grade cervical intraepithelial neoplasia. [PDF]

BMC Med Inform Decis Mak
Tao H, Tong Z, Li H, Mao S, Fan X.
europepmc   +1 more source

AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review.

J Med Internet Res
Cejudo A, Arrojo M, Martín C, Almeida A.   +3 more
europepmc   +1 more source

Brushless doubly-fed AC field machine

, 2007
openaire   +1 more source

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Comparison of AC Motors to an Ideal Machine Part I-Conventional AC Machines

2018 IEEE Energy Conversion Congress and Exposition (ECCE), 2018
While comparison of the torque produced by AC machines of a given topology is, today, a standard feature of the machine design process, comparison of machines from different families of machine types is less frequently undertaken. This two part paper compares the torque performance of 6 types of AC machines based on the same current level, flux level ...
Thomas A. Lipo, Wenbo Liu
openaire   +1 more source

Machine learning predicts risk in ACS

Nature Reviews Cardiology, 2021
A new machine learning risk-stratification model accurately predicts the 1-year risk of ischaemic and major bleeding events in patients with an acute coronary syndrome and might be useful to guide clinical decision-making and optimize the quality of care of these patients.
openaire   +2 more sources