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Towards Computer Based Lung Disease Diagnosis Using Accurate Lung Air Segmentation of CT Images in Exhalation and Inhalation Phases
Forecasting ground vibration due to rock blasting a hybrid intelligent approach using support vector regression and fuzzy C-means clustering
Forecasting ground vibration due to rock blasting a hybrid intelligent approach using support vector regression and fuzzy C-means clustering
Comparison of Microstructure and Tensile Properties of Dual Phase Steel Welded Using Friction Stir Welding and Gas Tungsten Arc Welding
Comparison of Microstructure and Tensile Properties of Dual Phase Steel Welded Using Friction Stir Welding and Gas Tungsten Arc Welding
Using Green Process for the Synthesis of Poly(Vinyl Alcohol)/-Al2O3-Thiamine Nanocomposite Thermal Mechanical Contact Angle and Morphological Studies
Dynamic analysis of rock slopes using the distinct element method A case study at the right abutment of the Upper Gotvand Dam Iran
Encapsulation of polyethylene glycol as a phase change material using alginate microbeads to prevent temperature fluctuation- Case study: Fish packaging
Encapsulation of polyethylene glycol as a phase change material using alginate microbeads to prevent temperature fluctuation- Case study: Fish packaging
Soundscape analysis using eco-acoustic indices for the birds biodiversity assessment in urban parks (case study: Isfahan City, Iran)
Search for CP violation using $$ \textrm{t}\overline{\textrm{t}} $$ events in the lepton+jets channel in pp collisions at $$ \sqrt{s} $$ = 13 TeV
Search for CP violation using $$ \textrm{t}\overline{\textrm{t}} $$ events in the lepton+jets channel in pp collisions at $$ \sqrt{s} $$ = 13 TeV
A high-performance single-electrode triboelectric nanogenerator based on polydimethylsiloxane surface modified using zinc oxide nanotubes: Fabrication and simulation
A high-performance single-electrode triboelectric nanogenerator based on polydimethylsiloxane surface modified using zinc oxide nanotubes: Fabrication and simulation
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models
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