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Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Comparison of Infinite Fracture Model (IFM) and Discrete Fracture Network (DFN) for Estimating the Volume of In-Situ Blocks in Dimension Stone Mines with a Focus on UAV Photogrammetry
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
A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers
Scattering of Transverse Electric and Transverse Magnetic Waves and Quantum Dynamics Generated by non-Hermitian Hamiltonians
A Novel Fuzzified Markov Chain Approach to Model Monthly River Discharge
A Novel Fuzzified Markov Chain Approach to Model Monthly River Discharge
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