Real-time heatwave risk management with fine-grained spatial resolution is important for analysis of urban heat island (UHI) effects and local heatwaves. This study analyzed the spatio-temporal behavior ground temperatures developed methods modeling them. The models consider two higher-order stochastic properties (skewness kurtosis), which are key to understanding describing temperature fluctua...

Prediction of student performance in the academic field creates significant challenges developing reliable and accurate diagnosis models. Through use online learning behavior data, this paper may assist teachers identifying students with advance providing timely assistance. A novel technique called Tukey Regressive Hoover indexed Deep Shift Invariant Structure Neural Network (TRHIDSISNN) Model ...

BACKGROUND AND OBJECTIVES The change from the sitting position to supine position, general anesthesia, and surgical procedure reduce lung volumes and this effect can be greater in obese patients. The objective of the present study was to evaluate the influence of the sitting position, 30 dorsal inclination, and horizontal dorsal decubitus on spirometry of grade III obese patients. METHODS Twe...

The classi cation task uses observations and prior knowledge to select a hypothesis that will predict class assignments well. In this work we ask the question: what is the best hypothesis to select from a given hypothesis class? To address this question we adopt a PAC-Bayesian approach. According to this viewpoint, the observations and prior knowledge are combined to form a belief probability o...

This paper discusses different classes of loss models in non-life insurance settings. It then overviews the class of Tukey transform loss models that have not yet been widely considered in non-life insurance modelling, but offer opportunities to produce flexible skewness and kurtosis features often required in loss modelling. In addition, these loss models admit explicit quantile specifications...