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Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods
Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods
High-Temperature Creep Analysis of Carbon Steel A516-Gr70 Used in Thin-Walled Pressure Vessels Under Different Loads at Constant Temperature
High-Temperature Creep Analysis of Carbon Steel A516-Gr70 Used in Thin-Walled Pressure Vessels Under Different Loads at Constant Temperature
One-step development of photothermal omniphobic membrane for vacuum membrane distillation towards sustainable water desalination using solar energy
Development and optimization of sustainable high-performance acoustic and fire retardant building panels using recycled discarded denim
Bridgeless Cuk PFC converter with full load range soft switching operation by using a simple auxiliary circuit
Improving Network Performance and Coverage Using Contract-Based Incentivized V2V Communications
Improving Network Performance and Coverage Using Contract-Based Incentivized V2V Communications
Antibacterial activity of green synthesized silver nanoparticles using Pistacia hull against multidrug-resistant clinical isolates
Using the route planning for supplying spare parts to reduce distribution costs: a case study in a roadside assistance company
Direct Synthesis of Nickel Oxide Nanoparticles from Pregnant Leach Solution by Using Electrodeionization and Fenton Processes in the Presence of EDTA
Direct Synthesis of Nickel Oxide Nanoparticles from Pregnant Leach Solution by Using Electrodeionization and Fenton Processes in the Presence of EDTA
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils