UAV-Based Deep Learning with Tiny-YOLOv9 for Revolutionizing Paddy Rice Disease Detection. - Jayakrishnan Anandakrishnan; Arun Kumar Sangaiah; Nguyen Khanh Son; Shivani Kumari; Muhammad Luqman Arif; Mohd Amiruddin Abd Rahman (SmartIoT, 2024)

Enhanced Data-Driven Framework for Anomaly Detection in Smart Grid IEDs. - Nguyen Khanh Son; Arun Kumar Sangaiah; Darshan Vishwasrao Medhane; Mohammed J. F. Alenazi; Salman A. AlQahtani; Majed Mohammed Aborokbah (J. Circuits Syst. Comput., 2025)

LCUT-Sv9: UAV-Assisted Powerline Inspection Framework with Secure Time-Sensitive Communication for Industry 5.0. - Arun Kumar Sangaiah; Jayakrishnan Anandakrishnan; Nguyen Khanh Son; Hendri Darmawan; Gui-Bin Bian; Mohammed J. F. Alenazi (IEEE Open J. Commun. Soc., 2025)

Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9. - Jayakrishnan Anandakrishnan; Arun Kumar Sangaiah; Hendri Darmawan; Nguyen Khanh Son; Yi-Bing Lin; Mohammed J. F. Alenazi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Enhancing Resilience in Edge IoT Devices Against Adversarial Attacks. - Nguyen Khanh Son; Arun Kumar Sangaiah; Darshan Vishwasrao Medhane; Mohammed J. F. Alenazi; Majed Mohammed Aborokbah (IEEE Consumer Electron. Mag., 2025)