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DEVELOPMENT OF A PREDICTION' PERFORMANCE METRIC FOR CHEMICAL REACTIONS' MODELSDEVELOPMENT OF A PREDICTION' PERFORMANCE METRIC FOR CHEMICAL REACTIONS' MODELS

Predicting of fentanyl-associated neurotoxicity in pancreatic cancer with clical, genetic model [Прогнозирование фентанил-ассоциированной нейротоксичности у больных с раком поджелудочной железы с помощью клинико-генетической модели] genetic model for predicting the risk of opioid-associated neurotoxicity in patients with pancreatic

Identification and prediction for compound modelsIdentification and prediction for compound models

Model predictive control for constrained systems with serially correlated stochastic parameters and portfolio optimizationModel predictive control for constrained systems with serially correlated stochastic parameters

Model predictive control of constrained with non linear stochastic parameters systemsModel predictive control of constrained with non linear stochastic parameters systems

Modeling Pdx:Biy nanoclusters and predicting their catalytic activity in the glucose oxidation reaction into gluconic acidModeling Pdx:Biy nanoclusters and predicting their catalytic activity in the glucose oxidation

Wind speed prediction performance based on model decomposition methods and optimization algorithms: выпускная бакалаврская работа по направлению подготовки: 02.03.02 - Fundamental Computer Science and Information TechnologyWind speed prediction performance based on model decomposition methods and optimization algorithms

Physiologically based pharmacokinetic model for predicting the biodistribution of albumin nanoparticles after induction and recovery from acute lung injuryPhysiologically based pharmacokinetic model for predicting the biodistribution of albumin

Assessment of conditions and the possibility of predicting the development of metabolic syndrome based on physical and mathematical models: магистерская диссертация по направлению подготовки: 03.04.02 - PhysicsAssessment of conditions and the possibility of predicting the development of metabolic syndrome

Physico-mathematical models for predicting the risk of developing hemodynamically significant bifurcation injuries of the coronary arteries: магистерская диссертация по направлению подготовки: 03.04.02 - ФизикаPhysico-mathematical models for predicting the risk of developing hemodynamically significant

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