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Yan Tan, Wei Huang and Xiping Zhang
By considering the uncertainties in the initial field, model physical processes, and lateral boundary conditions, the Shanghai Weather And Risk Model System-Ensemble Prediction System (SWARMS-EN) is constructed. According to the prediction results of typ...
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Robyn C. Thompson, Seena Joseph and Timothy T. Adeliyi
The ubiquitous access and exponential growth of information available on social media networks have facilitated the spread of fake news, complicating the task of distinguishing between this and real news. Fake news is a significant social barrier that ha...
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Valentina Ðordevic, Pavle Milo?evic, Ana Poledica
Pág. 71 - 82
Research Question: This paper investigates into how machine learning can be applied for the purpose of detecting anomalies in the data describing transport component within the cellular network. Motivation: In the field of telecommunications, terabytes o...
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Valentina Ðordevic, Pavle Milo?evic, Ana Poledica
Pág. 71 - 82
Research Question: This paper investigates into how machine learning can be applied for the purpose of detecting anomalies in the data describing transport component within the cellular network. Motivation: In the field of telecommunications, terabytes o...
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Achraf Chikhi, Seyed Sahand Mohammadi Ziabari and Jan-Willem van Essen
Accurate data analysis is an important part of data-driven financial audits. Given the increased data availability and various systems from which audit files are generated, RCSFI provides a way for standardization on behalf of analysis. This research att...
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Dao Nguyen-Quynh Hoa, Tran-Tan Tien, Nguyen-Y Nhu and Thi Lan Dao
In this study, we conducted experiments to assess the forecasting capabilities for tropical cyclone (TC) genesis over the east sea of Vietnam using the ensemble-based data assimilation system (EPS-DA) by WRF-LETKF. These experiments covered forecast lead...
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Shaokun Deng, Zheqi Shen, Shengli Chen and Renxi Wang
It is widely recognized that the initial ensemble describes the uncertainty of the variables and, thus, affects the performance of ensemble-based assimilation techniques, which is investigated in this paper with experiments using the Community Earth Syst...
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Elizabeth Brendel Horn, Belinda C. Boyd, Megan Shero
Pág. 41 - 65
The Adaptive Community Theatre Project (ACTP) at the University of Central Florida (UCF) served to honor the voices and stories of community members with aphasia and other acquired neurocognitive disabilities, while combatting the isolation and depressio...
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Konstantinos I. Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis and George Stamoulis
This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of time series forecasting is to ...
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Ryan D. Torn and Mark DeMaria
Although there has been substantial improvement to numerical weather prediction models, accurate predictions of tropical cyclone rapid intensification (RI) remain elusive. The processes that govern RI, such as convection, may be inherently less predictab...
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