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Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
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
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Advances in Nanoparticle and Carbon Nanotube-Enhanced Electrospun Fibers for Tissue Engineering Applications
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
Receiver Design in Relaying Systems based on the Level of CSI at Relay
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
Analyzing Factors Affecting the Recycling and Reuse of Bread Waste Using Content Analysis, Descriptive Statistics, and Structural Equations