Explainable Transformer-Based Models for Land Use and Land Cover Classification
I co-authored an IEEE publication titled Transformer-Based Models for Land Use and Land Cover Classification. This research explores the use of Transformer-based deep learning architectures for improving land use and land cover classification from geospatial imagery. The work focuses on applying advanced AI techniques to enhance classification accuracy and support data-driven environmental analysis. The publication reflects my research interests in Artificial Intelligence, Machine Learning, and applied data science.