Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

Abstract: Weed, often referred to as unwanted plants that grow in agricultural fields, poses a major challenge in modern farming, resulting in reduced productivity. Our project aims to tackle this ...