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Improving the accuracy of detecting and ranking favorable porphyry copper prospects in the east of Sarcheshmeh copper mine region using a two-step sequential Fuzzy - Fuzzy TOPSIS integration approach
Improving the accuracy of detecting and ranking favorable porphyry copper prospects in the east of Sarcheshmeh copper mine region using a two-step sequential Fuzzy - Fuzzy TOPSIS integration approach
Creating Nature-Inspired Surface Roughness and Modifying Surface Chemistry of PVDF Electrospun Fibers Using Low-Pressure Plasma towards Omniphobic Membrane for Long-term Distillation
Effects of dietary corn and protein levels on physical properties of extruded feed pellets and growth performance of rainbow trout, Oncorhynchus mykiss
An Investigation into the Impact of Fiber Material, Fabric Texture, Dirt Type, and Fabric Area Density on Ultrasonic Cleaning of Woven Textiles
An Investigation into the Impact of Fiber Material, Fabric Texture, Dirt Type, and Fabric Area Density on Ultrasonic Cleaning of Woven Textiles
An Investigation into the Impact of Fiber Material, Fabric Texture, Dirt Type, and Fabric Area Density on Ultrasonic Cleaning of Woven Textiles
A Framework for Normalizing Physical Features of Li-ion Batteries to Form a Generic Health Estimation Model
A Framework for Normalizing Physical Features of Li-ion Batteries to Form a Generic Health Estimation Model
High step-up quasi-Z-source converter with full soft switching range, continuous input current and low auxiliary elements
High step-up quasi-Z-source converter with full soft switching range, continuous input current and low auxiliary elements
Mechanical, physical, and biological properties of polycaprolactone/ Mg-doped SrFe12O19 nanocomposite scaffolds for bone tissue engineering applications
Development of a direct PMMA-PCB bonding method for low cost and rapid prototyping of microfluidic-based gas analysers
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods