Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Frontiers

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...
IEEE

Bayesian Cooperative LOS/NLOS Classification With Domain Insights and Model Refinement for UAV Communication

Abstract: Effective classification of Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) conditions is essential for optimizing communication performance in UAV-assisted networks, where signal quality, ...
Frontiers

Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea

Department of Medical Big Data, College of Artificial Intelligence Convergence, Inje University, Gimhae, South Korea This study provided baseline data for preventing depression in female older adults ...
Scientific Research Publishing

A Wavelet-Based Two-Stage Vision Transformer Model for Histological Subtypes Classification of Lung Cancers on CT Images ()

1 Faculty of Informatics, The University of Fukuchiyama, Kyoto, Japan. 2 School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan. 3 School of Health Sciences, ...
IEEE

Study on Application of Bayesian Classifier Model in Data Stream

Abstract: Traditional data classification algorithms can not be directly applied for unlimited data and concept drift problem of data stream, so it is accordingly proposed a real-time streaming data ...