Deterministic methods - Open Access .click

Proceedings of the IEEE, 1998
Deterministic blind beamforming algorithms try to separate superpositions of source signals impinging on a phased antenna array by using the deterministic properties of the signals or the channels such as their constant modulus or directions-of-arrival. Progress in this area has been abundant over the past ten years and has resulted in several powerful
Alle-Jan Van Der Veen
exaly +3 more sources

Deterministic oversampling methods based on SMOTE

Journal of Intelligent & Fuzzy Systems, 2019
In supervised classification if one of the classes has fewer objects than the other, we have a class imbalance problem. One of the most common solutions to address class imbalance problems is oversampling, and SMOTE is the most referenced and well-known oversampling method. However, SMOTE creates synthetic objects in a random way, therefore it produces
Fredy Rodríguez Torres +2 more
openaire +1 more source

Pancreas modelling by a deterministic optimisation method

International Journal of Data Mining and Bioinformatics, 2011
Diabetes mellitus is a disease characterised by abnormally high glucose concentration, insulin dysfunction and resistance which may lead to health problems such as cardiovascular disease. This paper presents a mechanistic pancreas model of insulin dynamics which incorporates experimental physiological data.
Dayu Lv, Bill Goodwine
openaire +2 more sources

fos: mathematics
fos: computer and information sciences
numerical analysis math.na

stochastic methods
electric motor
design optimization

spatial interpolation
physical models
surrogate models