Artefact PARTICLE

Research on "artefact particle" spans diverse fields, focusing on improving the detection, classification, and analysis of particles, often within complex backgrounds or noisy data. Current efforts leverage machine learning, particularly convolutional neural networks and transformers, to enhance accuracy and efficiency in tasks such as object detection in images (e.g., microscopy, LiDAR), particle tracking in videos, and material characterization. These advancements have significant implications for various applications, including autonomous driving, materials science, high-energy physics, and medical imaging, by enabling more robust and automated analysis of complex datasets.