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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
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 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
A novel method for real driving emission prediction utilizing an artificial neural network
High-Temperature Creep Analysis of Carbon Steel A516-Gr70 Used in Thin-Walled Pressure Vessels Under Different Loads at Constant Temperature
High-Temperature Creep Analysis of Carbon Steel A516-Gr70 Used in Thin-Walled Pressure Vessels Under Different Loads at Constant Temperature
AlN Nanotube Decorated with Small Tin Oxide Clusters as a Novel CH<sub>4</sub> Sensing Material