Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
Abstract: Traditional techniques for predicting Customer Lifetime Value (CLV), such as RFM and linear regression, typically fall short when it comes to managing large datasets, identifying non-linear ...
Abstract: When object detection is carried out in settings with sparse and irregular data acquisition, conventional sequencing techniques that depend on continuous tracking or dense observations ...
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