IEEE

Naive Bayes Classification for Early Prediction of Diabetes Mellitus

Abstract: Diabetes Mellitus is one of the chronic diseases with a prevalence that is increasing globally. Data from the World Health Organization (WHO) shows that the number of Diabetes Mellitus cases ...
UC San Diego Today

Scripps Oceanography Seismologist Awarded for Real-Time Tsunami Forecast Breakthrough

A team of researchers from The University of Texas at Austin (UT), Lawrence Livermore National Laboratory (LLNL), and Scripps ...
Scripps Institution of Oceanography

2025 ACM Gordon Bell Prize Awarded for Breakthrough Research on Real-Time Tsunami Forecasting

A team of researchers from The University of Texas at Austin (UT), Lawrence Livermore National Laboratory (LLNL), and Scripps ...

Yixian Jiang Integrates Bayesian Networks and Metadata Standards to Advance Intelligent Digital Object Systems

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
IEEE

Predictive Modeling of Mental Health Awareness Using Naive Bayes Algorithm

This research explores predictive modeling of mental health awareness using the Naive Bayes algorithm, focusing on personal and social factors such as age, gender, stress levels, prior mental health ...
Scientific Research Publishing

Snoek, J., Larochelle, H. and Adams, R.P. (2012) Practical Bayesian Optimization of Machine Learning Algorithms. Advances in Neural Information Processing Systems, Vol. 5, 2951 ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...