Muaz Al Radi

According to our database, Muaz Al Radi authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understanding.

Basit Alawode, Arif Mahmood, Muaz Al Radi, Shahad Albastaki, Asim Khan, Muhammad Bilal, Moshira Abdalla, Mohammed Bennamoun, Sajid Javed

CoRR, March, 2026

Hierarchical vision-language model with comprehensive language description for video anomaly detection.

Muaz Al Radi, Sajid Javed

Knowl. Based Syst., 2026

2025

Video anomaly detection in 10 years: a survey and outlook.

Moshira Abdalla, Sajid Javed, Muaz Al Radi, Anwaar Ulhaq, Naoufel Werghi

Neural Comput. Appl., November, 2025

UniInd-FireSmoke: Unified Industrial Fire-Smoke Dataset.

Pengfei Li, Said Boumaraf, Muaz Al Radi, Sicheng Zhang

Dataset, June, 2025

Vision-based air-flow monitoring in an industrial flare system design using deep convolutional neural networks.

Said Boumaraf, Muaz Al Radi, Fares Oussama Abdelhafez, Pengfei Li, Khalid Yousef Al Awadhi, Hamad Karki, Sahraoui Dhelim, Naoufel Werghi

Expert Syst. Appl., 2025

Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements.

Said Boumaraf, Pengfei Li, Muaz Al Radi, Fares Oussama Abdelhafez, Abderaouf Behouch, Khalid Yousef Al Awadhi, Hamad Karki, Sajid Javed, Jorge Dias, Naoufel Werghi

IEEE Access, 2025

2024

AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges.

Muaz Al Radi, Pengfei Li, Said Boumaraf, Jorge Dias, Naoufel Werghi, Hamad Karki, Sajid Javed

IEEE Access, 2024

SMO-CLIP: Enhancing Anomalous Smoke Density Assessment Using A Hybrid LLM-VLM Approach.

Pengfei Li, Muaz Al Radi, Mahmoud Said Elmezain, Abdelfatah Hassan Ahmed, Abderrahmene Boudiaf, Said Boumaraf, Jorge Dias, Hamad Karki, Sajid Javed, Khalid Yousef Al Awadhi, Naoufel Werghi

Proceedings of the IEEE International Conference on Image Processing, 2024

CLIFS: Clip-Driven Few-Shot Learning for Baggage Threat Classification.

Abdelfatah Hassan Ahmed, Divya Velayudhan, Mahmoud Elmezain, Muaz Al Radi, Abderrahmene Boudiaf, Taimur Hassan, Mohamed Deriche, Mohammed Bennamoun, Naoufel Werghi

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Multi-view Inspection of Flare Stacks Operation Using a Vision-controlled Autonomous UAV.

Muaz Al Radi, Pengfei Li, Hamad Karki, Naoufel Werghi, Sajid Javed, Jorge Dias

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Vision-Based Analytics of Flare Stacks Using Deep Learning Detection.

Muaz Al Radi, Said Boumaraf, Hamad Karki, Jorge Dias, Naoufel Werghi, Sajid Javed

Proceedings of the 21st International Conference on Advanced Robotics, 2023

2022

Vision-based Inspection of Flare Stacks Operation Using a Visual Servoing Controlled Autonomous Unmanned Aerial Vehicle (UAV).

Muaz Al Radi, Hamad Karki, Naoufel Werghi, Sajid Javed, Jorge Dias

Proceedings of the IECON 2022, 2022