The field of computer vision has witnessed significant advancements in recent years, driven by the development of deep learning models and the availability of large-scale datasets. However, despite ...

Means, Vehicle Crashes, Dunn’s Partition Coefficient, Machine Learning Share and Cite: Abdulhafedh, A. (2025) Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes. Open Access ...

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and ...

Cancer Center have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient's likely response ...

While conditional normalizing flows (CNFs) can mitigate computational costs by learning conditional probabilities, current methods rely on labeled data for conditionalization, leaving unsupervised CNF ...

We list the best online learning platforms, to make it simple and easy to manage online courses using a VLE or LMS. Learning Management Systems (LMS) and Virtual Learning Environments (VLE ...

The reconstructed 3-D model is projected onto a 2-D plane, and pixel-level intersection over union (PIoU) loss is employed for unsupervised learning, enabling the extraction of discriminative latent ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.