In this project, the student will work on probabilistic modelling and machine-learning techniques to advance the current description of nuclear reactions in specific energy regimes of astrophysical ...
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 ...
Nectins and nectin-like molecules (Necls) have recently emerged as cell adhesion molecules that have a variety of cellular functions, including cell movement, proliferation, differentiation, ...
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 ...
Abstract: This article considers tracking multiple underwater targets using active sonar sensors. The fundamental problem of underwater multiple target tracking is unknown data association between ...
Recently, it was shown that the role of the teacher in knowledge distillation (KD) is to provide the student with an estimate of the true Bayes conditional ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results