background: the malaria early warning system is defined as the use of prognostic variables for predicting the occurrence of malaria epidemics several months in advance. the principal objective of this study was to provide a malaria prediction model by using meteorological variables and historical malaria morbidity data for malaria-en­demic areas in south eastern iran. methods: a total of 2002 l...

Milos Kudelka FEI, VSB Technical University of Ostrava 17. listopadu 15, 708 33 Ostrava Poruba, Czech Republic [email protected] Eliska Ochodkova FEI, VSB Technical University of Ostrava 17. listopadu 15, 708 33 Ostrava Poruba, Czech Republic [email protected] Sarka Zehnalova FEI, VSB Technical University of Ostrava 17. listopadu 15, 708 33 Ostrava Poruba, Czech Republic sarka.zehnalov...

The (well-known) quantum mechanical expression for the stress tensor is derived and applied to obtain a formula for the pressure in the average-atom model. This average-atom pressure formula reduces to the (well-known) expression for the pressure in a classical free-electron gas when the average-atom continuum wave functions are replaced by free-electron wave functions. 1 Derivation We start wi...

The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their appearance due to varying spatial, illumination, and viewing conditions. Corresponding enormous BTF measurements require a mathematical representation allowing extreme compression but simultaneously preserving its high visual fidelity. We present a no...

Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discounted total reward received by an agent, while, in many domains, the natural criterion is to optimize the average reward per time step. In this paper, we introduce a model-based Average-reward Reinforcement Learning meth...

This study compares the forecasting performance of various Autoregressive integrated moving average (ARIMA) models by using time series data. Primarily, The Box-Jenkins approach is considered here for forecasting. For empirical analysis, we used CPI as a proxy for inflation and employed quarterly data from 1970 to 2006 for Pakistan. The study classified two important models for forecasting out ...