If you've spent any time with ChatGPT or another AI chatbot, you've probably noticed they are intensely, almost overbearingly ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...
Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Introduction: Despite its endemic status and socioeconomic impacts, the spatial-temporal variation in rabies risk and its underlying determinants in Kazakhstan animal populations remain poorly ...
Background: Ischemic heart disease (IHD) remains the leading cause of mortality worldwide, with a rising toll in low- and middle- income countries. Southeast Asia, which is undergoing rapid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback