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Jianguo Zheng, Yilin Wang, Shihan Li and Hancong Chen
Accurate stock market prediction models can provide investors with convenient tools to make better data-based decisions and judgments. Moreover, retail investors and institutional investors could reduce their investment risk by selecting the optimal stoc...
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Jesús Las-Heras-Casas, Luis M. López-Ochoa, Luis M. López-González and Pablo Olasolo-Alonso
One of the greatest challenges facing the European Union is the conversion of the existing residential building stock into nearly zero-energy buildings (NZEBs) by 2050 through energy renovation, given that the residential sector is one of the largest con...
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Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem and Matloob Khushi
Stock price prediction can be made more efficient by considering the price fluctuations and understanding people?s sentiments. A limited number of models understand financial jargon or have labelled datasets concerning stock price change. To overcome thi...
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Markus Rabe, Jesus Gonzalez-Feliu, Jorge Chicaiza-Vaca and Rafael D. Tordecilla
The introduction of automated parcel locker (APL) systems is one possible approach to improve urban logistics (UL) activities. Based on the city of Dortmund as case study, we propose a simulation-optimization approach integrating a system dynamics simula...
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Yuriy Sherstennikov,Tatyana Rudyanova,Liliia Barannyk,Victoriia Datsenko,Lyudmyla Novikova
Pág. 40 - 49
The study is devoted to solving the scientific problem of optimal expansion of the enterprise?s market niche, taking into account potential demand and the formation of an effective advertising campaign. An economic-mathematical model of the enterprise?s ...
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