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Prediction and optimization of steroid hormone removal parameters from municipal wastewater by ultrasound probe using artificial neural network and genetic algorithm: a review
Use of artificial neural networks to predict the properties of replicated open-cell aluminum alloy foam via processing parameters of melt squeezing procedure
Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury
An AHP TOPSIS Predictive Model for District-Scale Mapping of Porphyry Cu Au Potential A Case Study from Salafchegan Area (Central Iran)
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
بیژن نجفی
Effect of different levels of phytase enzyme in diets with varying levels of phosphorus and calcium reduction on performance, metabolic indices, and immunological responses in broilers
Physiological responses of hawthorn ( Crataegus persica Pojark.) and quince (Cydonia oblonga Mill.) rootstocks to bicarbonate-induced iron deficiency in nutrient solution
Physiological responses of hawthorn ( Crataegus persica Pojark.) and quince (Cydonia oblonga Mill.) rootstocks to bicarbonate-induced iron deficiency in nutrient solution
A Grey Wolf Optimizer-based neural network coupled with response surface method for modeling the strength of siro-spun yarn in spinning mills
Understanding the hidden relations between pro- and anti-inflammatory cytokine genes in bovine oviduct epithelium using a multilayer response surface method
Comparative physiological and proteomic analysis of Arabidopsis thaliana revealed differential wound stress responses following the exposure to different LED light sources
SEMI-BATCH AND CONTINUOUS CARBOCHLORINATION OF ZIRCONIA IN A PILOT PLANT FLUIDIZED BED REACTOR OPTIMIZATION OF OPERATING CONDITIONS VIA RESPONSE SURFACE METHODOLOGY
Optimization of Best Management Practices to Control Runoff Water Quality in an Urban Watershed using a Novel Framework of Embedding- Response Surface Model