Ghana’s telecommunications sector has long played a central role in the country’s digital transformation, powering everything from mobile banking and ...

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and differentiation from mild cognitive impairment.

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Abstract: Remote sensing data from hyperspectral imaging (HSI) and light detection and ranging (LiDAR) provide complementary perspectives for terrain and object analysis. However, existing methods for ...

Abstract: The rapid development of multi-omics data has provided new opportunities for cancer subtype classification. Due to the ability to model gene associations by constructing graph among genes, ...

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

In various maps, building footprint and height data are common or easily obtainable from high-resolution satellite imagery. However, building structure types, which are essential data for structural ...