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Allan Jonathan da Silva, Jack Baczynski and José Valentim Machado Vicente
We introduce a novel stochastically correlated two-factor (i.e., bivariate) diffusion process under the square-root format, for which we analytically obtain the corresponding solutions for the conditional moment-generating functions and conditional chara...
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Kun Zhang, Jianyao Yao, Wenxiang Zhu, Zhifu Cao, Teng Li and Jianqiang Xin
The thermal protection system (TPS) represents one of the most critical subsystems for vehicle re-entry. However, due to uncertainties in thermal loads, material properties, and manufacturing deviations, the thermal response of the TPS exhibits significa...
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Wenxia Lu, Xueyong Tian, Yongguang Ma, Yinyan Guan, Libo Liu and Liwei Shi
Sewage treatment plants face significant problems as a result of the annual growth in urban sewage discharge. Substandard sewage discharge can also be caused by rising sewage treatment expenses and unpredictable procedures. The most widely used sewage tr...
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Abigail Dah, Boualem Khouider and Courtney Schumacher
Coastal convection is often organized into multiple mesoscale systems that propagate in either direction across the coastline (i.e., landward and oceanward). These systems interact non-trivially with synoptic and intraseasonal disturbances such as convec...
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Igor Kotenko, Igor Saenko, Andrey Privalov and Oleg Lauta
The article proposes an approach to ensuring the functioning of Software-Defined Networks (SDN) in cyber attack conditions based on the analytical modeling of cyber attacks using the method of topological transformation of stochastic networks. Unlike oth...
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Lekshmi S. Nair, Swaminathan Jayaraman and Sai Pavan Krishna Nagam
Link prediction finds the future or the missing links in a social?biological complex network such as a friendship network, citation network, or protein network. Current methods to link prediction follow the network properties, such as the node?s centrali...
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Gabriela Emiliana de Melo e Costa, Frederico Carlos M. de Menezes Filho, Fausto A. Canales, Maria Clara Fava, Abderraman R. Amorim Brandão and Rafael Pedrollo de Paes
Stochastic modeling to forecast hydrological variables under changing climatic conditions is essential for water resource management and adaptation planning. This study explores the applicability of stochastic models, specifically SARIMA and SARIMAX, to ...
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José Pinto, João R. C. Ramos, Rafael S. Costa and Rui Oliveira
In this paper, a computational framework is proposed that merges mechanistic modeling with deep neural networks obeying the Systems Biology Markup Language (SBML) standard. Over the last 20 years, the systems biology community has developed a large numbe...
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Vasilis Baltikas and Yannis N. Krestenitis
A numerical stochastic wave model was developed in this study based on the quasi-coherent theoretical framework proposed by Smit and Janssen in 2013. Subsequently, the model was implemented to reproduce and cross-confirm the findings of the quasi-coheren...
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Angel A. Juan, Markus Rabe, Majsa Ammouriova, Javier Panadero, David Peidro and Daniel Riera
In the field of logistics and transportation (L&T), this paper reviews the utilization of simheuristic algorithms to address NP-hard optimization problems under stochastic uncertainty. Then, the paper explores an extension of the simheuristics concep...
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