Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

This study leverages machine learning techniques to analyze a dataset comprising 400 patient records, identifying key factors that contribute to migraine classification. Using statistical analysis, ...

Machine learning uses three models, namely Random Forest (RF), Support Vector Machine (SVM), and k-nearest neighbors (k-NN), to classify pain levels. In this study, Forward Selection is also used as a ...

The device makes intelligent judgments by tapping a sound source to the skin of pineapples and analyzing the penetrated sounds by wavelet kernel decomposition and unsupervised machine learning ...

(2019) used the support vector machine (SVM), random forest (RF), and artificial ... there is a need to combine spectral index, wavelet analysis, and machine learning algorithms. In this study, we ...