Researchers M. M. Asha and G. Ramya present a hybrid model combining Predator Crow Search Optimization and Explainable AI to classify cardiac diseases. Using datasets like ACDC and imATFIB, the model enhances deep learning segmentation and feature selection, offering a refined diagnostic tool with measurable performance improvements.

Q&A

  • What is Predator Crow Search Optimization?
  • How does Explainable AI work in this model?
  • Which datasets support the study?
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