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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
A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers
Analyzing Factors Affecting the Recycling and Reuse of Bread Waste Using Content Analysis, Descriptive Statistics, and Structural Equations
Supervised deep learning for content-aware image retargeting with Fourier Convolutions
Evaluating low-emission-zone impacts on urban road transport system in large city
Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization
Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization
A machine learning-based framework for estimating fragility parameters in RC/MR frames considering seismic, structural, and site attributes
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid Disease
A deep learning-genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution