Results 281 to 290 of about 6,500,691 (338)

Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis.

J Med Internet Res
Chen Y, Ou Z, Deng Y, Luo A, Li X, Yang Y, Yang Q, Wu X, Zhou M.   +8 more
europepmc   +1 more source

Machine Learning-Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study.

JMIR Med Inform
Du MY, Lyu MK, Liu HL, Li YZ, Yan HF, Li XH.   +5 more
europepmc   +1 more source

Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study.

JMIR Mhealth Uhealth
Kim S, Park K.
europepmc   +1 more source

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Machine-to-Machine Communication

IEEE Software, 2014
Although wireless communication is integral to our daily lives, there are numerous crucial questions related to coverage, energy consumption, reliability, and security when it comes to industrial deployment. The authors provide an overview of wireless machine-to-machine (M2M) technologies in the context of a smart factory.
Michael Weyrich, Jan-Philipp Schmidt, Christof Ebert   +2 more
openaire   +1 more source

THE WOLFRAM MACHINE

International Journal of Bifurcation and Chaos, 2010
A new stand-alone complex system hardware emulator, called the Wolfram Machine, is introduced in this paper. The system is a programmable hardware cellular automaton able to emulate and show the outcome of all elementary cellular automata, allowing for their experimental analysis.
FORTUNA, Luigi, FRASCA, MATTIA, ANGELO SARRA FIORE, LEON O. CHUA   +3 more
openaire   +2 more sources