If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

These AI tools for data analysis will help everyone from small companies to large corporations training Machine Learning ...

Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key factors such as ...

The binned spectrum samples were randomly split into training and testing data sets in a ratio of 4:1 to train the logistic regression machine learning algorithm. The AMRQuest software, as an ...

Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning uses ...

A current approach uses classical machine learning (CML) algorithms, but they require large datasets, and their performance degrades in small-sample, nonlinear settings. The Australian researchers, ...