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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
Doctoral Researcher in Computer Science at SnT, University of Luxembourg, working on AI-enabled software testing.
Posts
portfolio
Automated Software Testing and Repair Agents
Agent-based software testing, automated program repair, test evolution, flaky-test repair, and large language models for software engineering.
Handwritten Logic Circuit Analysis
Computer-vision methods for reading hand-drawn logic circuits, comparing YOLO, Faster R-CNN, RetinaNet and Detectron2, with a boundary-tracking method for recovering connections.
Small Metal Object Classification
Dataset construction and a like-for-like comparison of HOG and LBP feature extraction against deep-learning models.
Vehicle Speed Estimation
Estimating vehicle speed from road video using YOLO detection, multi-object tracking and perspective transformation.
Medical Image Classification and Segmentation
COVID-19 classification from chest X-rays, breast-ultrasound segmentation, brain-tumour classification, MRI analysis and melanoma classification.
Pose Estimation
Human pose-estimation pipelines using MediaPipe and OpenPose to detect and connect body keypoints across video frames.
Face Detection and Facial Expression Analysis
YOLO-based face detection and real-time facial-expression analysis with Haar cascades, VGG-Face and DeepFace.
Telegram Data Dashboard
A Streamlit dashboard for storing, searching and analysing Telegram messages against a structured database.
publications
Deep Learning Approaches for Driver Distraction Detection Systems
Published in International Conference on Global Studies in Technology and Engineering Sciences, 2022
A study of deep-learning approaches for detecting driver distraction.
Recommended citation: Charoosaei, M. et al. Deep Learning Approaches for Driver Distraction Detection Systems.
Computer Vision-Based Hand Gesture Recognition
Published in International Conference on Modern Research in Electrical and Computer Engineering, 2022
A computer-vision approach to recognising hand gestures.
Recommended citation: Charoosaei, M. et al. Computer Vision-Based Hand Gesture Recognition. https://drive.google.com/file/d/1rH-yNVnuR8C4cVPjregRc3Ja_ZPoy3Oc/view
The Application of Machine Learning in Medical Image Processing
Published in International Conference on Modern Research in Electrical and Computer Engineering, 2022
A review of machine-learning applications in medical-image processing.
Recommended citation: Charoosaei, M. et al. The Application of Machine Learning in Medical Image Processing. https://drive.google.com/file/d/1nRx4aAv-khMXmHsO9gd4NzAns62RMcAR/view
Analytical Study of Two Feature Extraction Methods in Comparison with Deep Learning Methods for Classification of Small Metal Objects
Published in Visual Computing for Industry, Biomedicine, and Art (Springer Nature), 5(1), 13, 2022
A comparison of traditional feature-extraction methods and deep-learning approaches for classifying small metal objects.
Recommended citation: Amraee, S., Chinipardaz, M., and Charoosaei, M. (2022). Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects. Visual Computing for Industry, Biomedicine, and Art, 5(1), 13. https://doi.org/10.1186/s42492-022-00111-6
Handwritten Logic Circuits Analysis Using the YOLO Network and a New Boundary Tracking Algorithm
Published in IEEE Access, vol. 10, pp. 76095-76104, 2022
A computer-vision method for analysing handwritten logic circuits using YOLO and a boundary-tracking algorithm.
Recommended citation: Amraee, S., Chinipardaz, M., Charoosaei, M., and Mirzaei, M. A. (2022). Handwritten Logic Circuits Analysis Using the YOLO Network and a New Boundary Tracking Algorithm. IEEE Access, 10, 76095-76104. https://ieeexplore.ieee.org/document/9832898