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Ahmed Yosri, Maysara Ghaith, Mohamed Ismaiel Ahmed and Wael El-Dakhakhni
The efficient management and remediation of contaminated fractured aquifers necessitate an accurate prediction of the spatial distribution of contaminant concentration within the system. Related existing analytical solutions are only applicable to single...
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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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Liu Zhu, Hongyan Zhang, Dan Cao, Yalan Xu, Lanzhi Li, Zilan Ning and Lei Zhu
Drought stress-related gene identification is vital in revealing the drought resistance mechanisms underlying rice and for cultivating rice-resistant varieties. Traditional methods, such as Genome-Wide Association Studies (GWAS), usually identify hundred...
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Hristo Tonchev and Petar Danev
In this work, the quantum random walk search algorithm with a walk coin constructed by generalized Householder reflection and phase multiplier has been studied. The coin register is one qudit with an arbitrary dimension. Monte Carlo simulations, in combi...
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Guangzhong Liu, Sheng Zhang, Guojie Ma and Yipeng Pan
In order to solve the problem of many constraints and a complex navigation environment in the path planning of unmanned surface vehicles (USV), an improved sparrow search algorithm combining cubic chaotic map and Gaussian random walk strategy was propose...
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Samuel Tabot Enow
Pág. 353 - 360
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Jesse T. Richman and Ryan J. Roberts
Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phenomena, measures that might serve an important role as leading...
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Monica Alexiadou, Emmanouil Sofianos, Periklis Gogas and Theophilos Papadimitriou
In this study we investigate possible long-range trends in the cryptocurrency market. We employed the Hurst exponent in a sample covering the period from 1 January 2016 to 26 March 2021. We calculated the Hurst exponent in three non-overlapping consecuti...
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Timothy Tadj, Reza Arablouei and Volkan Dedeoglu
Data trust in IoT is crucial for safeguarding privacy, security, reliable decision-making, user acceptance, and complying with regulations. Various approaches based on supervised or unsupervised machine learning (ML) have recently been proposed for evalu...
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