Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
A complete A-Z guide to Machine Learning and Data Science using Python. Includes implementation of ML algorithms, statistical methods, and feature selection techniques in Jupyter Notebooks. Follow ...
On Thursday, Oct. 16, Santa Clara University will serve as host of the 14th annual Bay Area Machine Learning Symposium, an event dedicated to exchanging ideas and sharing new research in machine ...
Abstract: Omitting feature selection leads to large increases in prediction error for disease diagnosis models from machine learning. The proposed study implies the ...