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Simultaneous Optimization of Adsorption Capacity and Stability of Hydrothermally Synthesized Spinel Ion Sieve Composite Adsorbents for Selective Removal of Lithium from Aqueous Solutions
Prediction and optimization of steroid hormone removal parameters from municipal wastewater by ultrasound probe using artificial neural network and genetic algorithm: a review
Joint optimization of two-dimensional preventive maintenance parameters, technology level and product price under continuous usage rate and agent warranty services
Experimental investigation and optimization of supercritical carbon dioxide extraction of toxic heavy metals from solid waste using different modifiers and chelating agents
Flow Injection Chemiluminescence Determination of Enrofloxacin Using Ru(phen)32 -Ce(IV) System and Central Composite Design for the Optimization of Chemical Variables
Optimization of experimental conditions of the pulsed current GTAW parameters for mechanical properties of SDSS UNS S32760 welds based on the Taguchi design method
Optimization of experimental conditions of the pulsed current GTAW parameters for mechanical properties of SDSS UNS S32760 welds based on the Taguchi design method
Multiresponse Optimization of Pulsed-Current Gas Tungsten Arc Welding (PCGTAW) for AISI 304 Stainless Steel to St 52 Steel Dissimilar Welds
Microstructural characterization and electrical conductivity of CuxMn3-xO4 (0.9rxr1.3) spinels produced by optimized glycine nitrate combustion and mechanical milling processes
Microstructural characterization and electrical conductivity of CuxMn3-xO4 (0.9rxr1.3) spinels produced by optimized glycine nitrate combustion and mechanical milling processes
Co-Application of Arbuscular Mycorrhizal Fungi and Silicon Nanoparticles: A Strategy for Optimizing Volatile Profile, Phenolic Content, and Flower Yield in Rosa damascena Genotypes
Co-Application of Arbuscular Mycorrhizal Fungi and Silicon Nanoparticles: A Strategy for Optimizing Volatile Profile, Phenolic Content, and Flower Yield in Rosa damascena Genotypes
Airfoil Shape Optimization in Ultralow Reynolds Flows Applying a Deep Learning-Genetic Algorithm Framework on a Shear-Stress-Based Inverse Design Method
A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies
A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies