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Selected challenges in solidification processing of graphene nanoplatelets (GNPs) reinforced aluminum alloys composites
Estimation of foam (surfactant) consumption in earth pressure balance tunnel boring machine using statistical and soft-computing methods
Enhancing the Mechanical Properties of Transient-Liquid-Phase Bonded Inconel 617 to Stainless Steel 310 through Altering Process Parameters and Homogenisation
Enhancing textile wastewater decolorization: harnessing the power of diverse oxidants in photo-oxidation process with response surface methodology
Statistical modeling of polyester filament yarn evenness with respect to some melt spinning parameters
Statistical modeling of polyester filament yarn evenness with respect to some melt spinning parameters
Multi-objective optimization design of concrete outriggers based on Genetic-HookeJeeves algorithm: Reducing lateral deflection, differential axial shortening, and construction cost of the structure
Protecting alpine biodiversity in the Middle East from climate change: Implications for high-elevation birds
PINN-based forward and inverse bending analysis of nanobeams on a three-parameter nonlinear elastic foundation including hardening and softening effect using nonlocal elasticity theory
PINN-based forward and inverse bending analysis of nanobeams on a three-parameter nonlinear elastic foundation including hardening and softening effect using nonlocal elasticity theory
PINN-based forward and inverse bending analysis of nanobeams on a three-parameter nonlinear elastic foundation including hardening and softening effect using nonlocal elasticity theory
Improving prediction accuracy of CSM-CERES-Wheat model for water and nitrogen response using a modified Penman-Monteith equation in a semi-arid region
Eigenvector Spatial Filtering Enhancing Natural Hazards Vulnerability Assessment in a Susceptible Urban Environment: A Case Study of Izmir Earthquake in Turkey
Efficient Metal Extraction from Dilute Solutions: A Review of Novel Selective Separation Methods and Their Applications
A machine learning-based framework for estimating fragility parameters in RC/MR frames considering seismic, structural, and site attributes