Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning ...

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving ...

The method not only overcomes limitations of traditional LiDAR scanning but also enables the extraction of other hard-to-measure crown parameters ...

In the last decade, AI chatbots have transformed from simple tools that offer basic responses to advanced systems capable of ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

Collecting and analyzing the amount of toxic micro- and nanoplastics (MNPs) in water is comparatively easy: fill a bucket ...

Muhammad Fadhiil Hafidz Alfarisy and Muhammad Arsyad Fajri pose with the Silver Award medal they earned at the 2025 ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...