Recent Submissions

• Utilizing Deep Learning to Track Urban Density Parameters in Zoning Practice-Based Areas
• Fabrication of humidity monitoring sensor using porous silicon nitride structures for alkaline conditions
• Carburization-induced surface modification of Ti-6Al-7Nb alloy and its characterization
• Seismic protection provided by a new diamond-shaped bracing system with a horizontally layered friction damper
• Understanding human-robot proxemic norms in construction: How do humans navigate around robots?
• Comprehensive analysis of a thiazole-substituted corrosion inhibitor's impact on N80 carbon steel in acidic conditions: Integrating computational predictions with experimental verifications
• Elucidating the mechanisms of novel thiazole-based corrosion inhibitors in carbon steel/HCl interface: An integrated approach combining experimental and computational studies
• Experimental and numerical investigation of through-diaphragm in H-shaped steel beam to CFST column connections
• Risk Evaluation of Radioactive Concrete Structure Decommissioning in Nuclear Power Plants Using Fuzzy-AHP
• 기후변화가 건물 에너지 성능에 미치는 영향에 대한 사례 연구 및 완화 조치 방향성에 관한 논의
• Modifications of bismuth molybdates through selective additions of Zn<SUP>2+</SUP>: an efficient photocatalyst for solar-driven water splitting applications
• A multi-scale computational investigation of cationic dye interaction with rutile TiO2: An interconnected simulation approach
• Effect of Data Augmentation Using Deep Learning on Predictive Models for Geopolymer Compressive Strength
• Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
• Modelling building HVAC control strategies using a deep reinforcement learning approach
• Indolin-2-one derivatives as corrosion inhibitors: Structural insights and evaluation through experimental and computational techniques
• Exploring sustainable corrosion inhibition of copper in saline environment: An examination of hydroquinazolinones via experimental and ab initio DFT simulations
• Comprehensive structural characterization and Quantum mechanical exploration of o-phenylenediamine Dihydrogenphosphate: An integrated theoretical and experimental approach
• An interpretable probabilistic machine learning model for forecasting compressive strength of oil palm shell-based lightweight aggregate concrete containing fly ash or silica fume
• Construction Safety Innovation and Barriers in Different Company Types and Sizes: A Survey in Vietnam