Fintech is technology in finance. By “technology” today, I mean artificial intelligence. Artificial intelligence is ...
Bridging the gap between algorithms and field exploration Montero Mining and Exploration integrated data from its Chilean ...
Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...
Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...
Introduction: In professional cycling, the technical characteristics of race stages significantly influence group dynamics and performance variability among competitors. However, stage classifications ...
Introduction: Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied ...
Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
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