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Developing the Regional Nonstationary IDF Curves Using NGN-ProNEVA Framework
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