In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
Abstract: The proposed article aims to apply and compare supervised and unsupervised classification methods on Sentinel-2 imagery, employing the Normalized Difference Water Index (NDWI) to detect the ...
Neurogastroenterology & Motility paper describes the Auckland Classification, which is designed to bring clinical clarity to the hundreds of ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Abstract: The widespread use of modern network communications necessitates effective resource control and management in TCP/IP networks. However, most existing network traffic classification methods ...