Skip to main content
People
Isfahan University of Technology
Finding Contents or People
Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Improving CO2 storage and methane production from gas hydrate reservoir using different techniques and nanoparticles
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
Shear strengthening of RC arches with FRP composites using EBR and EBROG methods: Experimental and theoretical study
Solar-driven desalination of reverse osmosis (RO) retentate using PVDF/ MXene photothermal hydrophobic membranes
Performance improvement of hydrological models using Unscented Kalman Filter-type data assimilation and data fusion
An evaluation of spatial and temporal variations of land surface temperature in Biskra, Algeria using remote sensing and GIS
Modelling the Sgr A and M87 shadows by using the Kerr-Taub-NUT metrics in the presence of a scalar field
A study on the repeatability of electroformed electrochemical gas driven micro-pump, using the surface roughness of cathode electrodes
Estimating maximum pressure-flow scour depth around cylindrical bridge piers using a theoretical model
Fabrication and characterization of hybrid surface composite Al5083/Si3N4/TiC using friction stir processing
A study on the repeatability of electroformed electrochemical gas driven micro-pump, using the surface roughness of cathode electrodes
Fabrication and characterization of hybrid surface composite Al5083/Si3N4/TiC using friction stir processing
Pagination
First page
« First
Previous page
‹‹
…
Page
672
Page
673
Page
674
Page
675
Page
676
Page
677
Page
678
Page
679
Page
680
…
Next page
››
Last page
Last »
تحت نظارت وف بومی