Results 151 to 160 of about 828 (176)
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Two-Step Contrast Source Learning Method for Electromagnetic Inverse Scattering Problems. [PDF]
Si A, Wang M, Fang F, Dai D.
europepmc +1 more source
Evaluating Nursing Work Systems and Identifying Barriers for Robotic Technology Integration: Observational Study. [PDF]
Georgadarellis GL +4 more
europepmc +1 more source
Piezoelectric Hysteresis Modeling Under a Variable Frequency Based on a Committee Machine Approach. [PDF]
Aggogeri F, Pellegrini N.
europepmc +1 more source
Digital twin-driven deep learning prediction and adaptive control for coal mine ventilation systems. [PDF]
Yang X, Li H.
europepmc +1 more source
Efficient Iterative Arbitrary High-Order Methods: an Adaptive Bridge Between Low and High Order. [PDF]
Micalizzi L, Torlo D, Boscheri W.
europepmc +1 more source
Physic-informed deep operator networks for modeling 2D time-domain electromagnetic wave propagation in various media. [PDF]
Oh S, Lee E, Hong SK.
europepmc +1 more source
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