In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...
Abstract: This study presents a robust classification framework for brain tumor diagnosis using Gaussian Naive Bayes. The method was selected for its simplicity, efficiency with high-dimensional data, ...
Artificial intelligence–generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, ...
Abstract: Flexible and scalable decentralized learning solutions are fundamentally important in the application of multi-agent systems. While several recent approaches introduce (ensembles of) kernel ...
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