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Rushi Li and Mincheng Wu
Urban color, primarily emanating from building façades and roofs, plays a pivotal role in shaping a city?s image and influencing people?s overall impression. Understanding the nuances of color patterns contributes significantly to unraveling the uniquene...
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Stefania Piazza, Mariacrocetta Sambito and Gabriele Freni
Urban looped water distribution systems are highly vulnerable to water quality issues. They could be subject to contamination events (accidental or deliberate), compromising the water quality inside them and causing damage to the users? health. An effici...
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Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
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Hyeon-Jeong Kim and Seung-Won Suh
In the west coast of Korea (WCK), macro-tidal environments with wide tidal flats yield distinctive characteristics such as recursive tidal currents and tidal asymmetry. Here, we proposed an efficient search and rescue (SAR) computation method for WCK con...
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Matthew Oyeleye, Tianhua Chen, Sofya Titarenko and Grigoris Antoniou
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to detect a...
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Inon Zuckerman, Dor Mizrahi and Ilan Laufer
Tacit coordination games are games where players are trying to select the same solution without any communication between them. Various theories have attempted to predict behavior in tacit coordination games. Until now, research combining tacit coordinat...
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Shatha Abbas, Mohammed J. F. Alenazi and Amani Samha
Artificial intelligence (AI) is a fundamental part of improving information technology systems. Essential AI techniques have revolutionized communication technology, such as mobility models and machine learning classification. Mobility models use a virtu...
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Ali Trabelsi Karoui,Aida Kammoun
Pág. 89 - 106
This paper represents a new approach in the exchange rate determination by using microstructural and macroeconomic variables. We test a combination of fundamentals and microstructure variables in cointegrated relationship of the USD/JPY and USD/GBP curre...
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Wilson Tsakane Mongwe, Rendani Mbuvha and Tshilidzi Marwala
Markov chain Monte Carlo (MCMC) techniques are usually used to infer model parameters when closed-form inference is not feasible, with one of the simplest MCMC methods being the random walk Metropolis?Hastings (MH) algorithm. The MH algorithm suffers fro...
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Olga Rumyantseva, Andrey Sarantsev and Nikolay Strigul
Forecasting of forest dynamics at a large scale is essential for land use management, global climate change and biogeochemistry modeling. We develop time series models of the forest dynamics in the conterminous United States based on forest inventory dat...
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