Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

The probability that a tennis player wins the first set of a match is \(\frac{3}{5}\). If she wins the first set, the probability that she wins the second set is \(\frac{9}{10}\). If she loses the ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: Probabilistic electricity price forecasting (EPF) is crucial for optimizing decision-making in modern electricity markets. However, most studies focus on forecasting individual market prices ...

The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...

Abstract: Predicting the location where a lost person could be found is crucial for search and rescue operations with limited resources. To improve the precision and efficiency of these predictions, ...

1️⃣ We present an interesting attempt, as illustrated in the figure below: Using the latest GPT-4o large model to generate schematic cancer gene identification. It is undeniable that the LLM possesses ...