Abstract: The network traffic prediction is essential for network operators in cost-effective link capacity planning. This paper proposes a method to predict traffic statistical upper limits (TSUL) as ...
Abstract: It is well-known that power systems operation always affected by various uncertainties which make the bus voltage a random process that can be characterized by its probability density ...
The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...
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 ...
Recent research suggests that generic large language models (LLMs) can match the accuracy of traditional methods when forecasting macroeconomic variables in pseudo out-of-sample settings generated via ...
While most estimates place the current human population at around 8.2 billion, a study suggests we might be vastly underrepresenting rural areas. By analyzing 300 rural dam projects across 35 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results