A REAL-TIME TRAIN TIMETABLE RESCHEDULING METHOD BASED ON DEEP LEARNING FOR METRO SYSTEMS ENERGY OPTIMIZATION UNDER RANDOM DISTURBANCES

A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances

Considering that uncertain dwell disturbances often occur at metro stations, researchers have proposed many methods for solving the SOYBEANS EDAMAME train timetable rescheduling (TTR) problem.This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning.The proposed met

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A latent-class heteroskedastic hurdle trajectory model: patterns of adherence in obstructive sleep apnea patients on CPAP therapy

Abstract Background Sleep apnea patients on CPAP therapy exhibit differences in how they adhere to the therapy.Previous studies have demonstrated the benefit of describing adherence in terms of discernible longitudinal patterns.However, these analyses have been done on a limited number of patients, and did not properly represent the temporal charac

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An unusual variation in the anterior communicating artery of the circle of Willis in the human brain - a case report

This report highlights an unusual Spring variation of Anterior communicating artery of the circle of Willis found during dissection for studying circle of Willis.The brain was carefully extracted out of the skull so that arteries forming the circle of Willis do not get torn.The circle of Willis was identified in the interpeduncular cistern.Fine dis

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