in the present work, the effects of operating conditions including ph, transmembrane pressure, oil concentration, and temperature on fouling resistance and the rejection of turbidity for a polymeric membrane in an ultrafiltration system of wastewater treatment were studied. a new modeling technique called evolutionary polynomial regression (epr) was investigated. epr is a method based on regres...

the relation between single nucleotide polymorphisms (snps) and some diseases has been concerned by many researchers. also the missing snps are quite common in genetic association studies. hence, this article investigates the relation between existing snps in dnmt1 of human chromosome 19 with colorectal cancer. this article aims is to presents an imputation method for missing snps not at random...

Abstract In order to solve the problem of accuracy and rapidity short-term prediction wind power output, eXtreme Gradient Boosting (XGBoost) regression model is used in this paper predict output. For models commonly at present stage, such as Long Short Term Memory (LSTM), random forest ordinary XGBoost model, modelling time long, not enough. paper, a genetic algorithm (GA) introduced improve sp...

Abstract Twin neural network regression (TNNR) is trained to predict differences between the target values of two different data points rather than targets themselves. By ensembling predicted an unseen point and all training points, it possible obtain a very accurate prediction for original problem. Since any loop should sum zero, loops can be supplied data, even if themselves within are unlabe...

p2x 7 antagonist activity for a set of 49 molecules of the p2x 7 receptor antagonists, derivatives of purine, was modeled with the aid of chemometric and artificial intelligence techniques. the activity of these compounds was estimated by means of combination of principal component analysis (pca), as a well-known data reduction method, genetic algorithm (ga), as a variable selection technique, ...

background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...