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Quantitative analysis of noninvasive deep temporal interference stimulation: A simulation and experimental study
Quantitative analysis of noninvasive deep temporal interference stimulation: A simulation and experimental study
Experimental and numerical study of grooved gusset plate damper for cross-braced frames
Fast quadratic model predictive control based on sensitivity analysis and Wolfe method
Fast quadratic model predictive control based on sensitivity analysis and Wolfe method
Shear strengthening of RC arches with FRP composites using EBR and EBROG methods: Experimental and theoretical study
Shear strengthening of RC arches with FRP composites using EBR and EBROG methods: Experimental and theoretical study
Theoretical Spectroscopic Study of Normal Raman and Charge Transfer Surface-Enhanced Raman Scattering (SERS) Spectra of the Adsorbed <scp>l</scp>- and <scp>d</scp>-Cysteine on the Chiral Au<sub>34</sub> and Ag<sub>4</sub>@Au<sub>30</sub> Nanoclusters
Theoretical Spectroscopic Study of Normal Raman and Charge Transfer Surface-Enhanced Raman Scattering (SERS) Spectra of the Adsorbed <scp>l</scp>- and <scp>d</scp>-Cysteine on the Chiral Au<sub>34</sub> and Ag<sub>4</sub>@Au<sub>30</sub> Nanoclusters
Theoretical Spectroscopic Study of Normal Raman and Charge Transfer Surface-Enhanced Raman Scattering (SERS) Spectra of the Adsorbed <scp>l</scp>- and <scp>d</scp>-Cysteine on the Chiral Au<sub>34</sub> and Ag<sub>4</sub>@Au<sub>30</sub> Nanoclusters
Geological investigations and production planning by identification of the discontinuities and rock mass blocks in dimension stone quarries: a case study
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models