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New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets
New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets
Automatic extraction of canopy and artificial reference temperatures for determination of crop water stress indices by using thermal imaging technique and a fuzzy-based image-processing algorithm
Automatic extraction of canopy and artificial reference temperatures for determination of crop water stress indices by using thermal imaging technique and a fuzzy-based image-processing algorithm
Automatic extraction of canopy and artificial reference temperatures for determination of crop water stress indices by using thermal imaging technique and a fuzzy-based image-processing algorithm
Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine LearningAn Upscaling Approach
Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine LearningAn Upscaling Approach
Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine LearningAn Upscaling Approach
Seismic Sensitivity Analysis of Rigidity and Thickness of Tunnel Lining by Using Ground_Structure Interaction Method Case Study: Roudbar Lorestan Dam
Seismic Sensitivity Analysis of Rigidity and Thickness of Tunnel Lining by Using Ground_Structure Interaction Method Case Study: Roudbar Lorestan Dam
3D analysis of catchment basins by incorporating modified dilution correction equations in geochemical anomaly delineation
Facile synthesis of hollow mesoporous MgO nanospheres as ultra-high performance and reusable adsorbent
Two Differential Equations for Investigating the Vibration of Conductive Nanoplates in a Constant In-Plane Magnetic Field Based on the Energy Conservation Principle and the Local Equilibrium Equations
Two Differential Equations for Investigating the Vibration of Conductive Nanoplates in a Constant In-Plane Magnetic Field Based on the Energy Conservation Principle and the Local Equilibrium Equations
Improving intermittent demand forecasting based on data structure