A COMBINED PRIORITY SCHEDULING METHOD FOR DISTRIBUTED MACHINE LEARNING



Optimization of traffic light phases at adjacent intersections

The article studies the relationships between the time intervals of traffic light phases and intersections.Traffic light objects can be mutually useful in ELM relation to each other if they are correctly adjusted and the existing load is distributed.The necessary frequency of updating and control of traffic light phases to improve their influence i

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Non-monotonic kilohertz frequency neural block thresholds arise from amplitude- and frequency-dependent charge imbalance

Abstract Reversible block of nerve conduction using kilohertz frequency electrical signals has substantial potential for treatment of disease.However, the ability to block nerve fibers selectively is limited by poor understanding of the relationship between waveform parameters and the nerve fibers that are blocked.Previous in vivo studies reported

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Bearing Fault Feature Extraction Method Based on Adaptive Time-Varying Filtering Empirical Mode Decomposition and Singular Value Decomposition Denoising

Aiming to address the difficulty in extracting the early weak fault features of bearings under complex operating conditions, a fault diagnosis method is proposed based on the adaptive fusion of time-varying filtering empirical mode decomposition (TVF-EMD) Exterior modal components and singular value decomposition (SVD) noise reduction.First, the sn

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