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Titlebook: Implikationen von Kapazitätsmärkten auf das Akteursverhalten; Eine spieltheoretisc Sebastian Gruber Book 2015 Springer Fachmedien Wiesbaden

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Prediction of Bifurcation Phenomenon Inside a Sudden Expansion Pipe Using Neural Networking Finite Volume based computational tool which trained a neural network to predict bifurcation phenomena at different expansion ratios and Reynolds Number. This study focuses on the training of neural network using the dataset generated by the Finite Volume based computational tool and the predict
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PS-ARM: An End-to-End Attention-Aware Relation Mixer Network for Person Searchon from uncropped gallery images. Although, previous study focuses on rich feature information learning, it’s still hard to retrieve the query person due to the occurrence of appearance deformations and background distractors. In this paper, we propose a novel attention-aware relation mixer (ARM) mo
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Auto-correlation Based Feature Extraction Approach for EEG Alcoholism Identificationvities. The recorded EEG signals have non-linear and nonstationary attributes with very low amplitude. Consequently, it is very difficult and time-consuming for humans to interpret such signals. Therefore, with the significance of computerized approaches, the identification of normal and alcohol EEG
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Pregnancy in Hypertrophic Cardiomyopathyancy is usually tolerated well, with complications limited to high-risk and symptomatic women. Preconception counseling and risk management are important, because of the inheritance risk and the determination of follow-up during pregnancy. Vaginal delivery is generally preferred, because of the redu
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The Deep Learning Method for Image Segmentation to Improve the Efficiency of Data Processing Without Compromising the Accuracy of an Autonomous Driving Country-Road Pilot System After Image Classifica of which have different dims of light, from daylight to night. High-resolution images require high amounts of expensive storage as automated driving moves from urban to rural areas, where driving at night and recognising traffic signs and lights are necessary for all light conditions. Therefore, a
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