1 results match your criteria: "Department of Computer and communication Sri Sairam Institute of Technology Chennai India.[Affiliation]"
Combining the advantages of AlexNet convolutional deep neural network optimized with anopheles search algorithm based feature extraction and random forest classifier for COVID-19 classification.
Concurr Comput
July 2022
Department of Computer and communication Sri Sairam Institute of Technology Chennai India.
Article Synopsis
- A COVID-19 detection and classification framework is developed using a combination of an optimized AlexNet convolutional neural network and a random forest classifier, utilizing a dataset from the Joseph Paul Cohen database.
- Image preprocessing techniques, specifically fuzzy gray level difference histogram equalization (FGLHE) and fuzzy stacking, are employed to enhance image quality and reduce noise before training the model.
- The proposed method (ADCNN-ASA-RFC) shows significant improvements in accuracy, specificity, and sensitivity compared to existing algorithms, demonstrating its effectiveness in accurately diagnosing COVID-19.