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Preventing molten copper penetration to steel grain boundaries during cladding through optimizing GTAW parameters and ferrite band formation
Preventing molten copper penetration to steel grain boundaries during cladding through optimizing GTAW parameters and ferrite band formation
Combining game theory and evolutionary algorithms for optimizing hybrid RDWC-pervaporation-vapor permeation process equipped with solar heating system
Multi-objective exergoeconomic and exergoenvironmental optimization of continuous synthesis of solketal through glycerol ketalization with acetone in the presence of ethanol as co-solvent
Applying the Gray Relativity Analysis for Optimizing the Open-End Spun Yarns Production Process from the Cotton/Waste Blended Fibers
The structure of trans-[Cu(cip)2(OH)2] and DNA optimized considering charged embedding of MM part in QM part in the gas phase.
An incentive-based policy on reduction of GHG emissions and loss minimization using adaptive group search multi-objective optimization algorithm
Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method
Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method
Thermal properties optimization of microencapsulated a renewable and non-toxic phase change material with a polystyrene shell for thermal energy storage systems
Exergy-based optimization of a continuous reactor applied to produce value-added chemicals from glycerol through esterification with acetic acid
Optimal coupled and uncoupled fuzzy logic control for magnetorheological damper-equipped plan-asymmetric structural systems considering structural nonlinearities
Optimal coupled and uncoupled fuzzy logic control for magnetorheological damper-equipped plan-asymmetric structural systems considering structural nonlinearities
Post combustion carbon capture Does optimization of the processing system based on energy and utility requirements warrant the lowest possible costs
A Novel Unknown Input Observer-Based Optimal Load Frequency Control for Smart Power Systems Considering EV and DR Participation