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Shuqi Zhang, Tong Zhi, Hongbo Zhang, Chiheng Dang, Congcong Yao, Dengrui Mu, Fengguang Lyu, Yu Zhang and Shangdong Liu
The hydrological series in the Loess Plateau region has exhibited shifts in trend, mean, and/or variance as the environmental conditions have changed, indicating a departure from the assumption of stationarity. As the variations accumulate, the compound ...
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Antti Hynninen, Ville Viitanen, Jukka Tanttari, Rhena Klose, Claudio Testa and Jussi Martio
This work focuses on the main issues related to noise measurements in cavitation tunnels. The scope of the paper is to twofold: to obtain a better understanding on the main phenomena underlying experiments and to define consistent cavitation tunnel measu...
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Timothy Tadj, Reza Arablouei and Volkan Dedeoglu
Data trust in IoT is crucial for safeguarding privacy, security, reliable decision-making, user acceptance, and complying with regulations. Various approaches based on supervised or unsupervised machine learning (ML) have recently been proposed for evalu...
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Francisco Andree Ramírez Casas, Laxmi Sushama and Bernardo Teufel
The development of a computationally efficient machine learning-based framework to understand the underlying causes for biases in climate model simulated fields is presented in this study. The framework consists of a two-step approach, with the first ste...
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Quan Li, Hang Zeng, Pei Liu, Zhengzui Li, Weihou Yu and Hui Zhou
Recently, the homogenous flood generating mechanism assumption has become questionable due to changes in the underlying surface. In addition, flood is a multifaced natural phenomenon and should be characterized by both peak discharge and flood volume, es...
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Ling Zeng, Hongwei Bi, Yu Li, Xiulin Liu, Shuai Li and Jinfeng Chen
Recent evidence of the impact of watershed underlying conditions on hydrological processes have made the assumption of stationarity widely questioned. In this study, the temporal variations of frequency distributions of the annual maximum flood were inve...
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Ruijie Bai, Jinping Li, Fanzhi Zeng and Chao Yan
Accurate predictions of flow separation are important for aerospace design, flight accident avoidance, and the development of fluid mechanics. However, the complexity of the separation process makes accurate predictions challenging for all known Reynolds...
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Peter B. Lerner
The notion of ?relativistic finance? became ingrained in the public imagination and has been asserted in many mass-media reports. However, despite an observed drive of the most reputable Wall Street firms to establish their servers ever closer to the tra...
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Katrin ZULAUF,Ralf WAGNER
Pág. 293 - 306
This study departs from common conjecture by challenging the preference for deliberation or intuition, or both, in negotiations. In contrast to prior negotiation studies considering judgment precision, this study builds on underlying personality traits. ...
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Mahdi Rezapour and Khaled Ksaibati
A choice to use a seat belt is largely dependent on the psychology of the vehicles? occupants, and thus those decisions are expected to be characterized by preference heterogeneity. Despite the importance of seat belt use on the safety of the roadways, t...
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