Endo-exo framework for a unifying classification of episodic landslide movements: Implications for forecasting catastrophic failures. [PDF]
Lei Q, Sornette D.
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Reduced cortical excitability is associated with head impact severity and cognitive symptoms in adolescent football players. [PDF]
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Divergence of cortical neurophysiology across different neurodegenerative disorders compared to healthy ageing. [PDF]
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Biomechanical Changes During Running on a Lower Body Positive Pressure Treadmill in Competitive Runners. [PDF]
Fohrmann D +7 more
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Irrational dynamics, superpitchfork bifurcation, and equilibrium hierarchy in a mass-spring system exhibiting chaos and bursting. [PDF]
Abobda LT.
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SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points [PDF]
Numerous compression and acceleration strategies have achieved outstanding results on classification tasks in various fields, such as computer vision and speech signal processing. Nevertheless, the same strategies have yielded ungratified performance on regression tasks because the nature between these and classification tasks differs. In this paper, a
Yu-Chen Lin, Cheng Yu, Szu-Wei Fu
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A method of acceleration for a class of multiplicative programming problems with exponent
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xue-Gang Zhou
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Double-heterostructure (GaAl)As lasers are tested at various temperatures and driving conditions, including spontaneous mode operation. Results show that the rate of degradation is primarily determined by driving current rather than optical output when aging at optical outputs of 10 mW/facet or less and heat-sink temperatures of 50–100 °C.
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Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2008Various disciplines have benefited from the advent of high-performance computing in achieving practical solutions to their problems, and the area of health care is no exception to this. Non-linear signal-processing tools have been developed to understand the hidden complexity of the time series, and these will help clinicians in ...
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