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 Anti-Gas often occur at metro stations, researchers have proposed many methods for solving the 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 method take

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Mycorrhizal Associations and Trophic Modes in Coexisting Orchids: An Ecological Continuum between Auto- and Mixotrophy

Two distinct nutritional syndromes have been described in temperate green orchids.Most orchids form mycorrhizas with rhizoctonia fungi and are considered autotrophic.Some orchids, however, associate with fungi that simultaneously form ectomycorrhizas with surrounding trees and derive their Frame Parts carbon from these fungi.This evolutionarily der

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The role of natural products from medicinal plants against COVID-19: traditional medicine practice in Tanzania

Background: Pandemic COVID-19 is a dangerous disease caused by a new coronavirus known as severe acute respiratory syndrome (SARS-CoV-2).There is non-reliable drug or vaccine available to combat for SARS-CoV-2.More efforts to search for antiviral agents against COVID-19 are obligatory, whereas phytochemicals are potent solution.Thus, this study inv

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Numerical Simulation of Blast Vibration and Crack Forming Effect of Rock-Anchored Beam Excavation in Deep Underground Caverns

Aiming at surrounding rock damage induced Placemats by dynamic disturbance from blasting excavation of rock-anchored beam in rock mass at moderate or far distance in underground cavern, numerical model of different linear charging density and crustal stress in underground cavern is established by adopting dynamic finite element software based on bo

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