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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
Authentication in VANETs with Conditional Privacy-Preserving Property Using Certificateless Aggregate Signature Schemes
Prediction of Wear in Start-Stop Systems Using Continuum Damage Mechanics
A Study of Energy Consumption and Drying Rate: Comparison of Continuous and Intermittent Drying Methods of Rough Rice
Analyzing Factors Affecting the Recycling and Reuse of Bread Waste Using Content Analysis, Descriptive Statistics, and Structural Equations
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
Comparison of enhanced neural network and response surface models in predicting bio-dissolution of aluminum and vanadium from bauxite residue by isolated Aspergillus niger strains
Comparison of enhanced neural network and response surface models in predicting bio-dissolution of aluminum and vanadium from bauxite residue by isolated Aspergillus niger strains
A novel method for real driving emission prediction utilizing an artificial neural network