In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Abstract: Applying ML techniques into smart grid architectures has transformed the predictive maintenance to a level that can predict equipment failures before they occur. This approach reduces the ...
Women’s Day is a moment to recognise women who have shaped different fields, including technology and artificial intelligence ...
Abstract: Traditional face recognition systems struggle to balance accuracy, privacy, and computational efficiency in IoT environments. This work addresses these challenges by proposing a novel ...
Abstract: With the arrival of the cloud computing, modern IT infrastructure has been transformed by the ability to provision resources on demand and scalable over the internet. Nevertheless, due to ...
Abstract: This research focuses on developing a complex framework for automatic diagnosis purposes of Alzheimer's disease from MRI brain data, with emphasis placed on advancement in accuracy towards ...
Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...
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