A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification

HIGHLIGHTS

• who: Wafa Alameen Alsanousi et al. from the Department of Computer Science, Faculty of Mathematical and Computer Science, University of Gezira have published the Article: A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification, in the Journal: PLOS ONE of 23/05/2022
• what: The authors propose a novel hybrid network that combines 1D Convolutional Neural Network (CNN) and Bidirectional Gated Recurrent Unit (BGRU) to classify the malaria parasite mitochondrial proteins. The model was trained using reinforcement learning strategy and the obtained accuracy was 94.79%. The findings demonstrate that . . .
  

   

  

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