Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...
Background: With the increasing use of machine learning (ML)-based risk prediction models for venous thromboembolism (VTE) in patients, the quality and applicability of these models in practice and ...
Abstract: Machine learning (ML) is being widely used to help diagnose diseases and track how they progress. In this project, we used different ML techniques on the Z-Alizadeh Sani public UCI dataset, ...
In today’s newsletter, Paul Veradittakit, managing partner at Pantera Capital, shares his 2026 predictions on crypto, real-world asset tokenization and AI. Programming Note: This will be our last ...
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