Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain ...

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human ...

A machine learning-based Intrusion Detection System (IDS ... In this paper, a lightweight and effective feature selection algorithm for IDS is proposed. This algorithm combines the advantages of both ...

Abstract: Local Outlier Factor (LOF) algorithm is a typical machine learning algorithm and has good accuracy in novelty detection for detecting global and local outlier. However, the LOF algorithm ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

Engineering Laboratory, University of Cambridge, Cambridge CB2 1PZ, U.K. Department of Physics and Astronomy, University College, London WC1E 6BT, U.K. Yusuf Hamied Department of Chemistry, University ...

Then they trained a collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to determine the voltage settings for reducing radiation ...

Background: Extremely aggressive prostate cancer, including subtypes like small cell carcinoma and neuroendocrine carcinoma, is associated with poor prognosis and limited treatment options. This study ...