Gueorgui Mihaylov

TL;DR: In this paper, a set of logistic mathematical models to estimate the daylight amount and the energy demand for lighting of a room is presented, built upon a database of results obtained for a sample room through Daysim simulations: features such as site, orientation, external obstructing angle, window size, glazing visible transmittance and room depth were parametrically changed, resulting in 102 cases.

TL;DR: It is demonstrated that if the input series is Gaussian, then the mappings preserve the Gaussianity of the data and this approach outperforms the current state-of-the-art multivariate changepoint methods in terms of accuracy of detected changepoints and computational efficiency.

TL;DR: A comparative analysis of various image segmentation methods in the light of accuracy of damage detection in ultrasonic C-Scans of composite structures is presented and the most suitable approaches are introduced.

TL;DR: The efficiency behaviour of an industrial plant, part of a huge international structure of plants, is modelled as an emergent phenomenon in a complex adaptive system and some modern manifold learning methods are introduced in a unified formalism.

TL;DR: In this paper, the authors present a high-dimensional changepoint detection method that takes inspiration from geometry to map a highdimensional time series to two dimensions and show theoretically and through simulation that if the input series is Gaussian then the mappings preserve the Gaussianity of the data.