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Mochammad Arbi Hadiyat, Bertha Maya Sopha and Budhi Sholeh Wibowo
In the response surface methodology (RSM), the designed experiment helps create interfactor orthogonality and interpretable response models for the purpose of process and design optimization. However, along with the development of data-recording technolo...
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Jiexin Xu, Shaomin Chen, Yankun Gong, Zhiwu Chen, Shuqun Cai and Daning Li
Internal solitary waves (ISWs) are large-amplitude internal waves which would destroy underwater engineering. Finding an easy way to discriminate ISWs from field observational data is crucial. Two time--series datasets, one contained ISWs and another onl...
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Jasmin Carus, Sylvia Nürnberg, Frank Ückert, Catarina Schlüter and Stefan Bartels
A great challenge in the use of standardized cancer registry data is deriving reliable, evidence-based results from large amounts of data. A solution could be its mapping to a common data model such as OMOP, which represents knowledge in a unified semant...
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Hyeain Lee, Rosemary Ahn, Tae Hyun Kim and Euna Han
This paper assesses the relationship between obesity and the job market by focusing on young adults early on in their careers, while considering the factor of gender and the individuals’ job qualifications. This study extracted data on high school ...
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Barry Baker and Li Pan
This paper describes the development and initial applications of the Model and Observation Evaluation Tool (MONET) v1.0. MONET was developed to evaluate the Community Multiscale Air Quality Model (CMAQ) for the NOAA National Air Quality Forecast Capabili...
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Tim Martin, Lith Choummanivong
Pág. 2477 - 2486
Long-term pavement performance (LTPP) monitoring has been conducted in Australia for over 20 years. This research was funded by Austroads (representing federal, state and territory road agencies, local government and the New Zealand road agency) to promo...
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Peter Berg, Thomas Bosshard and Wei Yang
Lack of suitable observational data makes bias correction of high space and time resolution regional climate models (RCM) problematic. We present a method to construct pseudo-observational precipitation data by merging a large scale constrained RCM reana...
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Konstantin Belyaev, Andrey Kuleshov and Ilya Smirnov
The main aim of this work is to study the spatial?temporal variability of the model?s physical and spectral characteristics in the process of assimilation of observed ocean surface height data from the AVISO (Archiving, Validating and Interpolation Satel...
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Roberto Pizarro-Tapia, Fernando González-Leiva, Rodrigo Valdés-Pineda, Ben Ingram, Claudia Sangüesa and Carlos Vallejos
To develop intensity-duration-frequency (IDF) curves, it is necessary to calculate annual maximum rainfall intensities for different durations. Traditionally, these intensities have been calculated from the analysis of traces recorded by rain gauges on p...
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Zhao-Jun Liu, Xiao-Hua Zhu, Min Wang, Minmo Chen, Hua Zheng, Hirohiko Nakamura, Ayako Nishina and Jae-Hun Park
Herein, the temporal variability of the deep overflow through the Kerama Gap between the East China Sea and the Philippine Sea is investigated based on observational data combined with reanalysis data obtained during 2004?2011. The observations and model...
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Steffen Ahlers, Tobias Hergert and Andreas Henk
A three dimensional (3D) finite element model is used to study the conditions leading to mechanical decoupling at a salt layer and vertically varying stress fields in salt-bearing sedimentary basins. The study was inspired by observational data from nort...
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Tamarah R. King, Mark Quigley and Dan Clark
We digitize surface rupture maps and compile observational data from 67 publications on ten of eleven historical, surface-rupturing earthquakes in Australia in order to analyze the prevailing characteristics of surface ruptures and other environmental ef...
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Anita Nag and Basudev Biswal
Construction of flow duration curves (FDCs) is a challenge for hydrologists as most streams and rivers worldwide are ungauged. Regionalization methods are commonly followed to solve the problem of discharge data scarcity by transforming hydrological info...
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Phil J. Watson
The reliance upon and importance of climate models continues to grow in line with strengthening evidence of a changing climate system and the necessity to provide credible projections for risk assessment to guide policy development, mitigation and adapta...
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Phil J. Watson
The reliance upon and importance of climate models continues to grow in line with strengthening evidence of a changing climate system and the necessity to provide credible projections for risk assessment to guide policy development, mitigation and adapta...
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Phil J. Watson
The reliance upon and importance of climate models continues to grow in line with strengthening evidence of a changing climate system and the necessity to provide credible projections for risk assessment to guide policy development, mitigation and adapta...
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Yizhan Chen, Yonggang Cao, Yanqing Feng, Yuan Ma, Shihao Luo, Weiping Wang, Yongzhong Ouyang, Yuqiang Liu, Changjian Liu, Shizhi Liao and Zhijian Xiao
Residual current analysis of multiple stations? periodic observational data for sea currents, and multiple voyages, multiple seasons from 2018 to 2022, revealed the existence of a strong southwest current zone, 20?30 m underwater and within the coastal c...
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Tamarah R. King, Mark Quigley and Dan Clark
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Muhammad Usama, Rui Ma, Jason Hart and Mikaela Wojcik
Traffic state estimation (TSE) is a critical component of the efficient intelligent transportation systems (ITS) operations. In the literature, TSE methods are divided into model-driven methods and data-driven methods. Each approach has its limitations. ...
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Georgia Garani, Dionysios Papadatos, Sotiris Kotsiantis and Vassilios S. Verykios
Data analysis of weather phenomena to either predict or control human imprint on the environment requires the collection of various forms of observational data ranging from historical and longitudinal to forecast. The objective of this research paper is ...
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