Finding Contents or People

Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Area-based scenario development in land-use change modeling: A system dynamics-assisted approach for mixed agricultural-residential landscapes
Experimental and numerical study of mode I interlaminar behavior of carbon nanotube reinforced glass-epoxy composite: A multiscale approach
Eccentric load behaviour of concrete columns retrofitted with engineered cementitious composite jackets via grooving method
Eccentric load behaviour of concrete columns retrofitted with engineered cementitious composite jackets via grooving method
Theoretical and Experimental Study on the Formation Mechanisms of TiAl: Using the Method of Molecular Dynamics Simulation and SPS Method
Theoretical and Experimental Study on the Formation Mechanisms of TiAl: Using the Method of Molecular Dynamics Simulation and SPS Method
The effects of pore size and heat treatment on compression and corrosion behaviors of Ti-6Al-4V sheet-based gyroid implants fabricated by laser powder-bed fusion process
The effects of pore size and heat treatment on compression and corrosion behaviors of Ti-6Al-4V sheet-based gyroid implants fabricated by laser powder-bed fusion process
The Efficiency of the Ordinary Polypropylene Fiber in Producing One-part Alkali-Activated Slag Composites with Strain-Hardening Behavior
Mupirocin loaded core-shell pluronic-pectin-keratin nanofibers improve human keratinocytes behavior, angiogenic activity and wound healing
Mupirocin loaded core-shell pluronic-pectin-keratin nanofibers improve human keratinocytes behavior, angiogenic activity and wound healing
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data