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Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models
The influence of ammonia-N and salinity levels on oxidative stress markers, hepatic enzymes, and acid phosphatase activity in Nile tilapia (Oreochromis niloticus)
Photo-rechargeable zinc ion capacitors using MoS<sub>2</sub>/NaTaO<sub>3</sub>/CF dual-acting electrodes prepared by photodeposition method
Mixed-Mode Fracture Behavior of a Marble Exposed to Acidic Environments
Optimal Mapping of Soil Erodibility Factor (K) Using Machine Learning Models in a Semi-arid Watershed
Influence of cobalt substitution in CoFe2O4 nanoparticles on structural, morphological, cation distribution, optical and magnetic properties
Patient admission control and bed allocation during a pandemic using dynamic programming and simulation
Numerical analysis of fatigue crack propagation using a coarse-grained molecular dynamics approach
Development of ABAQUS Plugin Predicting the Mechanical Behavior and Failure Modes of Weft Knitted-Reinforced Composites
Experimental and numerical investigations on wave propagation in planar frames and trusses with shear deformable elements: Introduction of a fast numerical method using degrees of freedom just at joints
Experimental and numerical investigations on wave propagation in planar frames and trusses with shear deformable elements: Introduction of a fast numerical method using degrees of freedom just at joints
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches