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Roberto Vettor, Giovanni Bergamini and C. Guedes Soares
This work aims at defining in a probabilistic manner objectives and constraints typically considered in route optimization systems. Information about weather-related uncertainties is introduced by adopting ensemble forecast results. Classical reliability...
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Jinsheng Wang, Shihao Xue and Guoji Xu
To facilitate the establishment of the probabilistic model for quantifying the vulnerability of coastal bridges to natural hazards and support the associated risk assessment and mitigation activities, it is imperative to develop an accurate and efficient...
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Carlos Miguel Legón-Pérez, Jorge Ariel Menéndez-Verdecía, Ismel Martínez-Díaz, Guillermo Sosa-Gómez, Omar Rojas and Germania del Roció Veloz-Remache
During the search for S-boxes resistant to Power Attacks, the S-box space has recently been divided into Hamming Weight classes, according to its theoretical resistance to these attacks using the metric variance of the confusion coefficient. This partiti...
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Rafael Peñaloza
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle unc...
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Edina Chandiwana, Caston Sigauke and Alphonce Bere
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector...
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