Results 21 to 30 of about 18,202 (289)
On the accuracy of short-term COVID-19 fatality forecasts
BMC Infectious Diseases, 2022 Background Forecasting new cases, hospitalizations, and disease-induced deaths is an important part of infectious disease surveillance and helps guide health officials in implementing effective countermeasures.
Nino Antulov-Fantulin, Lucas Böttcher
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Efficient Update of Redundancy Matrices for Truss and Frame Structures [PDF]
Journal of Theoretical, Computational and Applied Mechanics, 2022 Redundancy matrices provide insights into the load carrying behavior of statically indeterminate structures. This information can be employed for the design and analysis of structures with regard to certain objectives, for example reliability, robustness,
Tim Krake +5 more
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Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frame Structures [PDF]
Journal of Theoretical, Computational and Applied Mechanics, 2023 Large statically indeterminate truss and frame structures exhibit complex load-bearing behavior, and redundancy matrices are helpful for their analysis and design.
Anton Tkachuk +3 more
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Machine learning In the financial industry: A bibliometric approach to evidencing applications
Cogent Social Sciences, 2023 This study comprehensively reviews the key influential and intellectual aspects of machine learning in finance. The authors employ the bibliometric approach using VOSviewer software to analyse 189 academic articles from the SCOPUS database between 1988 ...
Nadisah Zakaria +3 more
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Continuous Time Portfolio Selection under Conditional Capital at Risk
Journal of Probability and Statistics, 2010 Portfolio optimization with respect to different risk measures is of interest to both practitioners and academics. For there to be a well-defined optimal portfolio, it is important that the risk measure be coherent and quasiconvex with respect to the ...
Gordana Dmitrasinovic-Vidovic +3 more
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Pricing Options and Computing Implied Volatilities using Neural Networks
Risks, 2019 This paper proposes a data-driven approach, by means of an Artificial Neural Network (ANN), to value financial options and to calculate implied volatilities with the aim of accelerating the corresponding numerical methods.
Shuaiqiang Liu +2 more
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Soft computing in finance and economics [PDF]
AI Communications, 2014 The field of Soft Computing covers a wide range of techniques that are tolerant to the presence of uncertainty and imprecision. This feature is key in areas like Finance and Economics, where the opposite is rather the exception than the rule. For this reason, there is a growing interest in applications of the mentioned toolkit in the domain.
David Quintana, Pedro Isasi
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Journal of Intelligent Systems, 2018 Event studies in finance have focused on traditional news headlines to assess the impact an event has on a traded company. The increased proliferation of news and information produced by social media content has disrupted this trend. Although researchers
Bari Omar A., Agah Arvin
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Natural Computing in Finance – A Review [PDF]
, 2012 Due to be published June 2012 http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-92911-6 - OR 10/01/2012 Not yet published : on publication, 12 months embargo, add link to published article and text "The final publication is available at springerlink.com" in Rights field - AV 20/01 ...
Brabazon, Anthony +4 more
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Cross-Border Effects on Swiss Electricity Prices in the Light of the Energy Transition
Energies, 2018 Given the perspective of the Swiss energy policy to support investments in renewable energy sources, it becomes highly relevant at this point to understand cross-border effects of imported electricity on the Swiss electricity prices. We found that German
Karl Frauendorfer +2 more
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