Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions

Y Junjia, AH Alias, NA Haron, NA Bakar - Automation in Construction, 2025 - Elsevier
Occupational health risks such as falls from height, electrocution, object strikes, mechanical
injuries, and collapses have plagued the construction industry. Deep learning algorithms are …

[PDF][PDF] Finding Optimal Models of Random Forest and Support Vector Machine through Tuning Hyperparameters in Classifying the Imbalanced Data

S Handoyo, YP Chen, RBE Wibowo, AW Widodo - 2024 - researchgate.net
Imbalanced classes can cause machine learning models to classify positive class instances
poorly, and the models require hyperparameter sets to optimal values. This study aims to …