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I. SMITS,TH. FICHEFET,CH. TRICOT,J. P. VAN YPERSELE
Numerical experiments are carried out with a two-dimensional zonally averaged climate model in order to investigate the transient response of the climate of the Northern Hemisphere to the solar and greenhouse-gas forcings at the secular time scale. Th...
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Pengfei Ning, Dianjun Zhang, Xuefeng Zhang, Jianhui Zhang, Yulong Liu, Xiaoyi Jiang and Yansheng Zhang
The Array for Real-time Geostrophic Oceanography (Argo) program provides valuable data for maritime research and rescue operations. This paper is based on Argo historical and satellite observations, and inverted sea surface and submarine drift trajectori...
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Ke Shang, Zeyu Wan, Yulin Zhang, Zhiwei Cui, Zihan Zhang, Chenchen Jiang and Feizhou Zhang
The accurate and rapid prediction of parking availability is helpful for improving parking efficiency and to optimize traffic systems. However, previous studies have suffered from limited training sample sizes and a lack of thorough investigation into th...
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Yuefei Sun, Xianbo Sun, Tao Hu and Li Zhu
Despite the widespread use of artificial intelligence-based methods in detecting electricity theft by smart grid customers, current methods suffer from two main flaws: a limited amount of data on electricity theft customers compared to that on normal cus...
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Ziyi Zan, Weifeng Yue, Hangzheng Zhao, Changming Cao, Fengyan Wu, Peirong Lin and Jin Wu
The depth to groundwater table (DGT) and the stability sites of groundwater were closely related parameters in groundwater research. Controlling the DGT and identifying stability sites of DGT were of great significance to prevent soil salinization and im...
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Miguel Montiel and Roque Corral
The application of the time-inclined method in a fourth-order unstructured flux-reconstruction code for turbomachinery is demonstrated. Inviscid and viscous unsteady results due to the interaction of an incoming gust of total pressure with a linear casca...
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Sebastian C. Ibañez and Christopher P. Monterola
Accurate prediction of crop production is essential in effectively managing the food security and economic resilience of agricultural countries. This study evaluates the performance of statistical and machine learning-based methods for large-scale crop p...
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Ruijuan Du and Taiyang Tao
This paper focuses on the joint estimation of parameters and time delays for multi-input systems that contain unknown input delays and colored noise. A greedy pursuit hierarchical iteration algorithm is proposed, which can reduce the estimation cost. Fir...
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Hu Liu, Xueqian Xu, Xinqiang Chen, Chaofeng Li and Meilin Wang
Visual ship tracking provides crucial kinematic traffic information to maritime traffic participants, which helps to accurately predict ship traveling behaviors in the near future. Traditional ship tracking models obtain a satisfactory performance by exp...
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Chaloemporn Ponprasit, Yong Zhang and Wei Wei
Backward probabilities have been used for decades to track hydrologic targets such as pollutants in water, but the convenient deviation and scale effect of backward probabilities remain unknown. This study derived backward probabilities for groundwater p...
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Le-Lin Li, Peng Liang, San Jiang and Ze-Qiang Chen
Under the influence of various forces, the conflict between Russia and Ukraine is violent and changeable. The obtaining of battlefield data by conventional means is difficult but necessary in order to ensure security, reliability, and comprehensiveness. ...
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Hernán D. Salas, Juliana Valencia, Alejandro Builes-Jaramillo and Alejandro Jaramillo
The synoptic mode of variability (SMV) refers to changes in atmospheric conditions over periods ranging from 2 to 10 days. In tropical regions, this variability is driven by tropical waves that have a clear signal on the wavenumber?frequency power spectr...
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Yaxi Su, Chaoran Cui and Hao Qu
Time series prediction has been studied for decades due to its potential in a wide range of applications. As one of the most popular technical indicators, moving average summarizes the overall changing patterns over a past period and is frequently used t...
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Chunyu Song, Xianku Zhang and Guoqing Zhang
This paper carries out marine vehicle maneuverability prediction based on nonlinear innovation. An improved Extended Kalman Filter (EKF) algorithm combined with a forgetting factor is developed by virtue of nonlinear innovation for ship maneuverability u...
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Ji-Kang Chen, Guo-Dong Zhang and Wen-Yang Duan
Maritime traffic has increased considerably in recent years, making energy efficiency and navigation safety of ships more crucial than ever. Hence, a two-time scale model based on the Taylor expansion boundary element method (TEBEM) is proposed to predic...
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Jaehak Lee, Bo Woo Nam, Jae-Hoon Lee and Yonghwan Kim
In this study, a modified two-time-scale model is proposed to overcome the limitations of the existing maneuvering analysis model. To this end, not only wave conditions but also all directions of ship operation velocities are considered in estimating wav...
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Albina Cuomo and Domenico Guida
The Ciciriello catchment is a 3 km2 drainage sub-basin of the Bussento river basin, located in the southern part of the Campania Region (Southern Italy). Since 2012, this catchment has been studied using an interdisciplinary approach?geomorphological, hy...
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Ru-Yi Ren, Zao-Jian Zou and Jian-Qin Wang
The motion control of a surface ship based on a four degrees of freedom (4-DoF) (surge, sway, roll, and yaw) maneuvering motion model is studied in this paper. A time-scale decomposition method is introduced to solve the path-following problem, implement...
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Jeon-Young Kang and Jared Aldstadt
(1) Background: The stochastic nature of agent-based models (ABMs) may be responsible for the variability of simulated outputs. Multiple simulation runs (i.e., replicates) need to be performed to have enough sample size for hypothesis testing and validat...
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Jonathan Asaadi, Martin Auger, Roman Berner, Alan Bross, Yifan Chen, Mark Convery, Laura Domine, Francois Drielsma, Daniel Dwyer, Antonio Ereditato, Damian Goeldi, Ran Itay, Dae Heun Koh, Samuel Kohn, Patrick Koller, Igor Kreslo, David Lorca, Peter Madigan, Christopher Marshall, Thomas Mettler, Francesco Piastra, James Sinclair, Hirohisa Tanaka, Kazuhiro Terao, Patrick Tsang, Tracy Usher, Michele Weber and Callum WilkinsonaddShow full author listremoveHide full author list
We develop a novel Time Projection Chamber (TPC) concept suitable for deployment in kilotonne-scale detectors, with a charge-readout system free from reconstruction ambiguities, and a robust TPC design that reduces high-voltage risks while increasing the...
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