Seyed Mohammad Hassan Erfani

Harnessing Heterogeneous Sources of Data and Artificial Intelligence for Hydrologic Monitoring

Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling

The geometry of flow: Advancing predictions of river geometry with multi-model machine learning

Vision-based texture and color analysis of waterbody images using computer vision and deep learning techniques

Eye of Horus: A Vision-based Framework for Real-time Water Level Measurement

Developing a Vision-Based Framework for Measuring and Monitoring Water Resource Systems Using Computer Vision and Deep Learning Techniques

A Vision-based Framework for Monitoring and Measurement of Water Depth

Deep Learning-based Models for Estimating River Channel Width