This study introduces an enhanced texture-based algorithm for the classification of oral cancer images. The images are first extensively preprocessed to enhance the affected area with techniques like ...

Malware isn’t just trying to hide anymore—it’s trying to belong. We’re seeing code that talks like us, logs like us, even documents itself like a helpful teammate. Some threats now look more like ...

In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, ...

Cysteine S-carboxyethylation, a novel post-translational modification (PTM), plays a critical role in the pathogenesis of autoimmune diseases, particularly ankylosing spondylitis. Accurate ...

AI-native web scraper. Single binary with a bundled Claude Code skill. Embed in commercial software, fork, modify, redistribute. Firecrawl's AGPL requires open-sourcing your service or paying for a ...

Following large-scale extreme events—such as hurricanes, wildfires, and pandemics—changes in human movement patterns can vary dramatically from place to place and in the weeks and months following the ...

Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to ...

This is my project built for the Content-based Image Retrieval problem. In this project, I use the algorithm of indexing and searching Faiss (Facebook). Simultaneously combine many feature extraction ...

Explainable AI (XAI) algorithms are considered potentially paradigm-changing for the research of physical sciences, yet they often meet problems of inconsistency and stochasticity in practice, hence ...