In this paper we perform a study using the Maximum Likelihood Ensemble Filter, MLEF, developed at the Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University (CSU), and Florida State University (FSU), with CSU’s 2-dimensional shallow water equations model on the sphere. The aim of this study is to find the optimal number of ensemble members, with respect to the ro...

ABSTRACT The body weight (BW) of an animal is a vital economic trait that might help in decision-making the handling animals. objective present study was to develop equations for prediction BW Pelibuey sheep using scrotal circumference (SC). (23.40 ± 6.96 kg) and SC (20.25 6.19 cm) have been recorded 405 male at Southeastern Center Ovine Integration, Mexico. Linear, logarithmic, quadratic, expo...

This paper compares the performance of Nonlinear Autoregressive Exogenous (NARX) Neural Network and Support Vector Machine (SVM) regression model to predict Air Pollutant Index (API) in Malaysia. Two models namely NARX SVM were developed using API air quality time series data from three monitoring stations: Pasir Gudang, TTDI Jaya Larkin. Hourly parameters collected year 2016 2018 utilized prod...

In the design of a large deployable mesh reflector, high surface accuracy is one ultimate goals since it directly determines overall performance reflector. Therefore, evaluation needed in many cases and analysis reflectors. The usually specified as root-mean-square error, which measures deviation geometry from desired working surface. this paper, methods error calculation for reflectors are rev...

Particle size distribution (PSD) is a fundamental physical property of soils. Traditionally, the PSD curve was generated by hand from limited data of particle size analysis, which is subjective and may lead to significant uncertainty in the freehand PSD curve and graphically estimated cumulative particle percentages. To overcome these problems, a log-cubic method was proposed for the generation...

precipitation is considered as one of the most important factures in water cycle. prediction of monthly precipitation is important for many purposes such as estimating torrent, drought, run-off, sediment, irrigation programming and also management of drainage basins.in this study we studied and evaluated gene expression programming to predict the precipitation of the kakareza river (in lorestan...

We investigate U(1) supersymmetric Born–Infeld Lagrangians with a second non–linearly realized supersymmetry. The resulting non–linear structure is more complex than the square root present in the standard Born–Infeld action, and nonetheless the quadratic constraints determining these models can be solved exactly in all cases containing three vector multiplets. The corresponding models are clas...