<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Hybrid deep learning models for effective COVID-19 diagnosis with chest x-rays"^^ . "The survey on COVID-19 test kits RT-PCR (reverse transcription-polymerase chain reaction) concludes the hit rate of diagnosis and detection is degrading. Manufacturing these RT-PCR kits is very expensive and time-consuming. This work proposed an efficient way for COVID detection using a hybrid convolutional neural network (HCNN) through chest x-rays image analysis. It aids to differentiate non-COVID patient and COVID patients. It makes the medical practitioner to take appropriate treatment and measures. The results outperformed the custom blood and saliva-based RT-PCR test results. A few examinations were carried out over chest X-ray images utilizing ConvNets that produce better accuracy for the recognition of COVID-19. When considering the number of images in the database and the COVID discovery season (testing time = 0.03 s/image), the design reduced the computational expenditure. With mean ROC AUC scores 96.51 & 96.33, the CNN with minimised convolutional and fully connected layers detects COVID-19 images inside the two-class COVID/Normal and COVID/Pneumonia orders. © 2023, IGI Global. All rights reserved."^^ . "2023" . . . "9781668465257166846523X9781668465233" . . "IGI Global"^^ . . "IGI Global"^^ . . . "Structural and Functional Aspects of Biocomputing Systems for Data Processing"^^ . . . . . . . . . . . . . . . . . "P.S."^^ . "Rao"^^ . "P.S. Rao"^^ . . "H."^^ . "Azath"^^ . "H. Azath"^^ . . "R."^^ . "Maheswari"^^ . "R. Maheswari"^^ . . "V.S."^^ . "Asirvadam"^^ . "V.S. Asirvadam"^^ . . . . . "HTML Summary of #18898 \n\nHybrid deep learning models for effective COVID-19 diagnosis with chest x-rays\n\n" . "text/html" . .