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Soheila Rahmati
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Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate
Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate
Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate
Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate
Adaptive impedance control of uncertain robot manipulators with saturation effect based on dynamic surface technique and self-recurrent wavelet neural networks
Adaptive impedance control of uncertain robot manipulators with saturation effect based on dynamic surface technique and self-recurrent wavelet neural networks
Development of a metal oxide semiconductor-based artificial nose asafast reliable and non-expensive analytical technique for aroma profiling of milk adulteration
Application of singular value decomposition (SVD) and semi-discrete decomposition (SDD) techniques in clustering of geochemical data an environmental study in central Iran
Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique
Flexural performance of RC beams strengthened with high-strength, high-ductility concrete (HSHDC): Effects of casting methods and surface preparation techniques
Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique
Flexural performance of RC beams strengthened with high-strength, high-ductility concrete (HSHDC): Effects of casting methods and surface preparation techniques
Real-time monitoring of disc cutter wear in tunnel boring machines: A sound and vibration sensor-based approach with machine learning technique