Multi-model integration for dynamic forecasting (MIDF): a framework for wind speed and direction prediction.

Internet of things and ensemble learning-based mental and physical fatigue monitoring for smart construction sites.

SRGAN-enhanced unsafe operation detection and classification of heavy construction machinery using cascade learning.

Real-time assessment of surface cracks in concrete structures using integrated deep neural networks with autonomous unmanned aerial vehicle.

DMANet_KF: Tropical Cyclone Intensity Estimation Based on Deep Learning and Kalman Filter From Multispectral Infrared Images.

Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning.

An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module.

Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network.

Multivariate Analysis of Concrete Image Using Thermography and Edge Detection.

Aerodynamic Characteristics and Lateral Displacements of a Set of Two Buildings in a Linked Tall Building System.

Surface crack detection using deep learning with shallow CNN architecture for enhanced computation.