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Spatial modeling of soil chemical properties in an arid region of Central Iran using machine learning and remote sensing data
Spatial modeling of soil chemical properties in an arid region of Central Iran using machine learning and remote sensing data
Predicting the Curie temperature of magnetic materials with machine learning: Descriptor engineering, graph neural networks, and the role of curated data
Spatial modeling of soil chemical properties in an arid region of Central Iran using machine learning and remote sensing data
Dynamic, Vibration and Control
A review on recent applications of brushless DC electric machines and their potential in energy saving
Evaluating the Acoustic Properties of Estabragh (Milkweed)/Hollow- Polyester Nonwovens for Automotive Applications
مقالات
Mapping clay mineral types using easily accessible data and machine learning techniques in a scarce data region: a case study in a semi-arid area in Iran
Software Experiences
Seyed Amir Mohammad Lahaghi
Data mining 2017
Biography 35
Data Mining 2018
Data mining 2019

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