Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

With the right prompts, AI chatbots can analyze biomedical big data accurately

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...
IEEE

Hybrid SMOTE-Evolutionary Algorithm-AdaBoost for Lithology Prediction Using K-Nearest Neighbor

Abstract: Accurate lithology prediction is critical for subsurface modeling in oil and gas exploration. However, while machine learning (ML) techniques have been applied to automate lithology ...
IEEE

A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware

Abstract: The advancement of information technology has introduced new challenges in cybersecurity, especially related to the Android platform which is the main target of malicious software (malware) ...
Frontiers

Accurate intelligent modeling of mud loss while drilling wells via soft computing methods

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...