Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
Abstract: Federated learning in a cross-silo scenario’s encounters obstacles such as uneven performance across many medical fields, class imbalance, and data privacy concerns. These problems are ...
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