Results 91 to 100 of about 25,230 (166)

Identification of cardiovascular disease in patients with kidney stone disease using explainable machine learning. [PDF]

Front Cardiovasc Med
Yang Q, Luo N, Lin H, Chen H, Tang H, Huang J, Zhang X, Liao W, Lin Y, Liu Z, Sui X, Yang Q, Hou G.   +12 more
europepmc   +1 more source

Research on Identification of Minimum Parameter Set in Robot Dynamics and Excitation Strategy. [PDF]

Sensors (Basel)
Wang Z, Han J, Li X, Guo B, Lu L.
europepmc   +1 more source

Refining inflammatory profiles linked to cardiometabolic outcomes in people with HIV using recursive feature addition modelling. [PDF]

Clin Transl Med
MacCann R, Alalwan D, Saini G, Leon AAG, Xavier J, Hunter M, Rigonat F, Smolovyk P, van der Loeff MFS, Kootstra N, McGettrick P, Cotter AG, Winston A, Reiss P, Sabin C, Mallon PW, UPBEAT‐CAD, AIID and COBRA cohorts.   +17 more
europepmc   +1 more source

IoT-aware extreme machine learning for efficient health monitoring. [PDF]

BMC Health Serv Res
Sivakumar NR.
europepmc   +1 more source

The "cutting edge" of non-canonical RNA splicing. [PDF]

Front Mol Biosci
Guo J.
europepmc   +1 more source

<i>In Vitro</i> retinal ganglion cell differentiation and enrichment under the scope: do subtypes matter? [PDF]

Front Cell Dev Biol
Baakdhah TW, Sivak JM.
europepmc   +1 more source

Machine learning models for predicting limb ischemia during VA-ECMO: an analysis of the Chinese extracorporeal life support registry. [PDF]

Crit Care
Wang L, Wang K, Li C, Wang Y, Xie H, Liu H, Hao X, Wang H, Du Z, Hou X.   +9 more
europepmc   +1 more source

An adaptive model predictive control approach for robust load frequency control under renewable energy disturbances. [PDF]

Sci Rep
Ayman M, Attia MA, Asim AM.
europepmc   +1 more source

LDSNet: A Lightweight Detail-Sensitive Network for Small Object Detection in Low-Altitude UAV Scenarios. [PDF]

J Imaging
Tan T, Peng X, Zhang J, Zuo H, Zhang Y, Wu Y, Li H.   +6 more
europepmc   +1 more source