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Recent Submissions
- One-step formation of three-dimensional interconnected T-shaped microstructures inside composites by orthogonal bidirectional self-assembly method
- Contagious infection-free medical interaction system with machine vision controlled by remote hand gesture during an operation
- Utilizing Deep Learning to Track Urban Density Parameters in Zoning Practice-Based Areas
- Laser-induced strong wet stability and adhesion of pure conducting polymer hydrogels for bioelectrics application
- Wet-spinning of graphene fiber by mechanical synergistic effect with graphene scrolling method
- Fabrication of humidity monitoring sensor using porous silicon nitride structures for alkaline conditions
- Mitigation of steel corrosion in concrete by electrochemical chloride extraction at the AI-supporting electric source
- Machine learning-based weld porosity detection using frequency analysis of arc sound in the pulsed gas tungsten arc welding process
- UAV Corridor Coverage Analysis with Base Station Antenna Uptilt and Strongest Signal Association
- Bi-directional ensemble differential evolution for global optimization
- Analysis of energy consumption efficiency and emissions according to urban driving of hybrid electric vehicles in Korea
- Carburization-induced surface modification of Ti-6Al-7Nb alloy and its characterization
- Assessment of thermoeconomic and thermoenvironmental impacts of a novel solar desalination system using a heat pump, evacuated tubes, cover cooling, and ultrasonic mist
- Molecular dynamics study on nanodust removal strategies from nanotrench structures
- Thermomechanical behavior of carbon nanotube/graphene nanoplatelet-reinforced shape memory polymer nanocomposites: A micromechanics-based finite element approach
- Seismic protection provided by a new diamond-shaped bracing system with a horizontally layered friction damper
- Enhanced PtRu by CeO2 hollow nanofibers: Hydrogen gas sensing with CO-resistant in fuel cell
- Harnessing lanthanide-based nanostructured catalysts for energy conversion and chemical transformations
- An Efficient Explainable Convolutional Network with Visualization of Feature Maps for Enhanced Understanding of Building Facade Defects
- Experimental correlation between bending crack evolution and load-drop criterion in tight-radius three-point bending test with GPa-grade steels
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Subject
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- GROWTH156
Date Issued
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