Semantic Web for E-Government Service Delivery Integration. - Farzad Sanati; Jie Lu 001 (ITNG, 2008)

Lifeevent ontology oriented e-government service integration. - Farzad Sanati; Jie Lu 001 (SOCA, 2010)

Life-event modelling framework for e-government integration. - Farzad Sanati; Jie Lu (Electron. Gov. an Int. J., 2010)

Ontology-oriented e-government service integration utilising the semantic web - Farzad Sanati (2011)

An ontology for e-government service integration. - Farzad Sanati; Jie Lu (Comput. Syst. Sci. Eng., 2012)

Service Integration Engineering: A Paradigm Shift in Software Engineering. - Farzad Sanati (J. Softw., 2016)

Intelligent Teaching and Learning Platform for Introductory Programming Subjects. - Farzad Sanati; Lisa Soon; Yufeng Lin (ICCMS, 2020)

An Analysis of Pre-trained Models Versus Custom Deep Learning Models for Forest Fire Detection. - Shouthiri Partheepan; Farzad Sanati; Jahan Hassan (ITNAC, 2023)

Bushfire Severity Prediction Optimization: Feature Combination Study with XGBoost Regression and Satellite-Derived Data. - Pirunthavi Wijikumar; Shouthiri Partheepan; Jahan Hassan; Farzad Sanati; Biplop Rakshit Ray (SIN, 2024)

Relative Positioning for Aerial Robot Path Planning in GPS Denied Environment. - Farzad Sanati (CoRR, 2024)

Bushfire Severity Modelling and Future Trend Prediction Across Australia: Integrating Remote Sensing and Machine Learning. - Shouthiri Partheepan; Farzad Sanati; Jahan Hassan (CoRR, 2024)

Transfer Learning-Enhanced Gradient Boosting Models for Wildfire Detection Using UAV Imagery. - Pirunthavi Wijikumar; Shouthiri Partheepan; Jahan Hassan; Farzad Sanati; Biplob R. Ray (WoWMoM, 2025)

Evaluating YOLO Variants With Transfer Learning for Real-Time UAV Obstacle Detection in Simulated Forest Environments. - Shouthiri Partheepan; Farzad Sanati; Jahan Hassan (IEEE Access, 2025)

Modelling bushfire severity and predicting future trends in Australia using remote sensing and machine learning. - Shouthiri Partheepan; Farzad Sanati; Jahan Hassan (Environ. Model. Softw., 2025)