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Seismic random noise separation and suppression based on improved variational mode decomposition via grey wolf optimization. [PDF]
Yao Z, Li W, Zhu J, Hao L, Xing M.
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Research on the application of refinement hierarchical population algorithm in MPPT of photovoltaic arrays. [PDF]
Liming W, Qi K.
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AI-Native PHY-Layer in 6G Orchestrated Spectrum-Aware Networks. [PDF]
Mutescu PM +5 more
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Optimized Schwarz Waveform Relaxation for the Damped Wave Equation [PDF]
Gerardo Cicalese +3 more
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Optimizing Defibrillation Through Improved Waveforms
Pacing and Clinical Electrophysiology, 1995Defibrillation of the heart is achieved if an electrical current depolarizes the majority of the unsynchronized fibrillating myocardial cells. The applied current or the corresponding voltage described as a function of time is called the waveform. In pacing, to stimulate myocardial cells close to the electrode, a relatively low voltage is needed for a ...
M, Block, G, Breithardt
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Optimizing defibrillation waveforms for ICDs
Journal of Interventional Cardiac Electrophysiology, 2007While no simple electrical descriptor provides a good measure of defibrillation efficacy, the waveform parameters that most directly influence defibrillation are voltage and duration. Voltage is a critical parameter for defibrillation because its spatial derivative defines the electrical field that interacts with the heart. Similarly, waveform duration
Mark W, Kroll, Charles D, Swerdlow
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Optimizing stimulus waveforms for electroceuticals
Biological Cybernetics, 2018There has been a growing interest in the use of electrical stimulation as a therapy across diverse medical conditions. Most electroceutical devices use simple waveforms, for example sinusoidal or rectangular biphasic pulses. Clinicians empirically tune the waveform parameters (e.g.
Joshua Chang, David Paydarfar
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Optimized gradient waveforms for spiral scanning
Magnetic Resonance in Medicine, 1995AbstractSpiral scanning gradient waveforms can be optimized with respect to blurring from off‐resonance effects by minimizing the readout time. This is achieved by maximizing the gradient amplitude during the scan so that the edge of k‐space is reached as quickly as possible. Gradient hardware constraints are incorporated by considering a circuit model
K F, King, T K, Foo, C R, Crawford
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