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Xuequan Zhang, Jin Liu, Zihe Hu and Ming Zhong
The flow in meandering rivers is characterized by rapid changes in flow velocity and water level, especially in flooded environments. Accurate cross-sectional observation data enable continuous monitoring of flow conditions, which is important for river ...
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Donghyuk Kum, Jichul Ryu, Yongchul Shin, Jihong Jeon, Jeongho Han, Kyoung Jae Lim and Jonggun Kim
This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or...
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Qing Zhu, Meite Chen, Bin Feng, Yan Zhou, Maosu Li, Zhaowen Xu, Yulin Ding, Mingwei Liu, Wei Wang and Xiao Xie
Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resources...
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Fahad Alqahtani, Mohammed Almutairi and Frederick T. Sheldon
This study provides a comprehensive review and comparative analysis of existing Information Flow Tracking (IFT) tools which underscores the imperative for mitigating data leakage in complex cloud systems. Traditional methods impose significant overhead o...
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Qianlong Jin, Yu Tian, Weicong Zhan, Qiming Sang, Jiancheng Yu and Xiaohui Wang
Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real-tim...
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Petros Brimos, Areti Karamanou, Evangelos Kalampokis and Konstantinos Tarabanis
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown grea...
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Ran Tao, Zhaoya Gong, Qiwei Ma and Jean-Claude Thill
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the ready avail...
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Ignacio Pérez-Messina, Eduardo Graells-Garrido, María Jesús Lobo and Christophe Hurter
Pervasive data have become a key source of information for mobility and transportation analyses. However, as a secondary source, it has a different methodological origin than travel survey data, usually relying on unsupervised algorithms, and so it requi...
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Xiaolu Li, Xi Zhang, Peng Zhang and Guangyu Zhu
To improve the accuracy and efficiency of fault data identification of traffic detectors is crucial in order to decrease the probability of unexpected failures of the intelligent transportation system (ITS). Since convolutional fault data recognition bas...
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Ayetiguli Sidike, Xi Chen, Tie Liu, Khaydar Durdiev and Yue Huang
The main objective of this study is to investigate alternative climate data sources for long-term hydrological modeling. To accomplish this goal, one weather station data set (WSD) and three grid-based data sets including three types of precipitation dat...
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Ayetiguli Sidike, Xi Chen, Tie Liu, Khaydar Durdiev, Yue Huang
Pág. 1 - 18
The main objective of this study is to investigate alternative climate data sources for long-term hydrological modeling. To accomplish this goal, one weather station data set (WSD) and three grid-based data sets including three types of precipitation dat...
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Youn Shik Park and Bernie A. Engel
Water quality samples are typically collected less frequently than flow since water quality sampling is costly. Load Estimator (LOADEST), provided by the United States Geological Survey, is used to predict water quality concentration (or load) on days wh...
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Endra Joelianto, Muhammad Farhan Fathurrahman, Herman Yoseph Sutarto, Ivana Semanjski, Adiyana Putri and Sidharta Gautama
The increase in traffic in cities world-wide has led to a need for better traffic management systems in urban networks. Despite the advances in technology for traffic data collection, the collected data are still suffering from significant issues, such a...
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Nawaf Mohamed Alshabibi
Urban multilane roundabouts and signalized intersections are two major roadway devices used for controlling and managing traffic flow. This paper presents a comparative analysis of the saturation flow rate between urban multilane roundabouts and multilan...
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Benjamin W. Tobin, Benjamin V. Miller, Matthew L. Niemiller and Andrea M. Erhardt
Karst aquifers are unique among groundwater systems because of variable permeability and flow-path organization changes resulting from dissolution processes. Over time, changes in flow-path connectivity complicate interpretations of conduit network evolu...
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Moez Dabboussi
This paper investigates the impact of debt financing on dividend payments when they face the agency costs of free cash flow. It focuses on a sample of 120 firms listed on the Saudi Stock Exchange during the period of 2011?2021. The findings from the Gene...
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Weilong Guang, Peng Wang, Jinshuai Zhang, Linjuan Yuan, Yue Wang, Guang Feng and Ran Tao
Predicting the flow situation of cavitation owing to its high-dimensional nonlinearity has posed great challenges. To address these challenges, this study presents a novel reduced order modeling (ROM) method to accurately analyze and predict cavitation f...
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Author(s): Cahya Suryadi, Fatma Nurkhaerani
Pág. 272 - 281
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Manuel Ernesto Maqueo Martínez, Stefan Schippling, Markus Schatz and Damian M. Vogt
Considerable progress has been achieved in recent decades in understanding the phenomena related to the onset of condensation in steam flows, both experimentally and especially numerically. Nevertheless, there is still a certain disagreement between the ...
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Youn Shik Park and Bernie A. Engel
Pág. 1 - 13
Water quality samples are typically collected less frequently than flow since water quality sampling is costly. Load Estimator (LOADEST), provided by the United States Geological Survey, is used to predict water quality concentration (or load) on days wh...
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