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Development of a Kinetical Investigation Method Using Adsorption Kinetic Models for Selection and Optimization of Flocculation Process
Development of a Kinetical Investigation Method Using Adsorption Kinetic Models for Selection and Optimization of Flocculation Process
Polycaprolactone fumarate acts as an artificial neural network to promote the biological behavior of neural stem cells
Optimization and heat integration of hybrid R-HIDiC-PV process with the series-parallel arrangement of PV modules and recycle streams for TAME production
A Neural Network-Based Instrumental Method for Light Fastness Assessment with Dataset Validation
A Neural Network-Based Instrumental Method for Light Fastness Assessment with Dataset Validation
Simulation and optimization for improving performance of maintenance
Effect of storage options on price-based scheduling for a hybrid trigeneration system
Pricing and ordering decisions of recyclables under a sustainable supply chain management: A game-theoretic approach
Deep-neural network approaches for predicting 3D dose distribution in intensity-modulated radiotherapy of the brain tumors
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Modeling and optimization of laying hen manure drying process to reduce protein and ammonium-N losses by adding sodium bentonite and wheat straw
Water loss in agriculture and loss of social welfare: evidence from pistachio production in Iran