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Effects of Different Fibers and Cement Substituting Minerals on Mechanical Properties of Ultra-High-Performance Fiber-Reinforced Concrete
Effects of Different Fibers and Cement Substituting Minerals on Mechanical Properties of Ultra-High-Performance Fiber-Reinforced Concrete
Investigation on Electrochemical and Physical Properties of NanoCrN/TiN Multilayer Coating on AISI 304 Stainless Steel as Bipolar Plate for PEMFCs
Design and fabrication of fibrous media to facilitate autogenous smart self-healing properties in cracked-cementitious structures using polyethylene glycol (PEG) and silicon dioxide nanoparticles
Design and fabrication of fibrous media to facilitate autogenous smart self-healing properties in cracked-cementitious structures using polyethylene glycol (PEG) and silicon dioxide nanoparticles
Design and fabrication of fibrous media to facilitate autogenous smart self-healing properties in cracked-cementitious structures using polyethylene glycol (PEG) and silicon dioxide nanoparticles
The effects of strain path change on the microstructure, texture, and mechanical properties of accumulative roll-bonded (ARBed) AA1050 strips
Biosynthesis of Zinc Oxide Nanoparticles using Fermented Table Olive Extract: A Novel and Green Approach with Potential Applications
Evaluation and optimization of hydrometric locations using entropy theory and Bat algorithm (case study: Karkheh Basin, Iran)
Influence of verjuice extract on the morphology, phase, and magnetic properties of green synthesized CoFe2O4 nanoparticle: its application as an anticancer drug delivery
Influence of verjuice extract on the morphology, phase, and magnetic properties of green synthesized CoFe2O4 nanoparticle: its application as an anticancer drug delivery
Instrumental shade sorting of colored fabrics using genetic algorithm and particle swarm optimization
Digital exploration of selected heavy metals using Random Forest and a set of environmental covariates at the watershed scale
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques