APA (7th ed.) Citation

Akbar, S. B., Thanupillai, K., & Sundararaj, S. (2022). 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. Concurrency and computation, 34(15), e6958-n/a. https://doi.org/10.1002/cpe.6958

Chicago Style (17th ed.) Citation

Akbar, Sumaiya Begum, Kalaiselvi Thanupillai, and Suganthi Sundararaj. "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." Concurrency and Computation 34, no. 15 (2022): e6958-n/a. https://doi.org/10.1002/cpe.6958.

MLA (9th ed.) Citation

Akbar, Sumaiya Begum, et al. "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." Concurrency and Computation, vol. 34, no. 15, 2022, pp. e6958-n/a, https://doi.org/10.1002/cpe.6958.