A systematic review of the impact of generative AI on postgraduate research: opportunities, challenges, and ethical implications by Mabirizi, Vicent, Katushabe, Calorine, Muhoza, Gloria, Rugasira, Jack

Get full text

Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness by Kabiru, R. U., Abbas, U., Hassan, Aliyu, Terseer, A, Muhindo, D

“…This study investigated the correlation between the Pavement Condition Index (PCI) and Roughness Index (RI) to develop a numerical model for describing relationship of the two indices for pavement maintenance decision-making. Using statistical analysis and data visualization techniques, a significant correlation was found between PCI and RI. …”
Get full text

Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

“…Notably, the RF model achieved an R2 score of 91% for GWP and 97% for CO2 emission, demonstrating superior predictive accuracy compared to the DT approach.The findings demonstrate the effectiveness of these machine learning techniques in enhancing the sustainability of construction practices,offering a pathway for informed decision-making. This study highlights the urgent need for innovative approaches in the built environment to support sustainable development and mitigate the carbonfootprint associated with structural engineering.…”
Get full text

Bamboo stem ash as a sustainable cement replacement in lightweight foam mortar enhancing mechanical thermal and microstructural properties. by Mydin, Md Azree Othuman, Azman, Nurul Zahirah Noor, Awoyera, Paul O., Özkılıç, Yasin Onuralp, Fadugba, Olaolu George, Abdullah, Mohd Mustafa Al Bakri, Omar, Roshartini, Datta, Shuvo Dip

“…Its ability to enhance mechanical strength while reducing thermal conductivity makes it a promising material for energy-efficient and sustainable building solutions.…”
Get full text