Distributed Denial-of-Service (DDoS) attacks have doubled in 5 years (2018 to 2023). It also evolved over time. We see ...

This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

From emerging AI tools like large language models and deep learning neural networks to classical machine learning approaches such as K-means clustering and random forests, the use of cutting-edge ...

However, it's not a bad idea to normalize the predictors just in case you want to send the data to other regression algorithms that require normalization (for example, k-nearest neighbor regression).

Polymer research shows that machine learning can optimize tribological performance of epoxy coatings, with GBR outperforming ...

Results Variations of AI, including ML methods of random forest learning (RFL ... 85% versus 68%. However, AI algorithm performance metrics use different standards, precluding ideal objective ...

The spread of metastatic brain cancer presents one of the most challenging hurdles in oncology, as it often leads to poor ...

This study highlights the potential of saliva-based metabolomics and AI in prenatal diagnostics, improving detection rates ...