Farid, A. B., Fathy, E. M., Eldin, A. S., & Abd-Elmegid, L. A. (2021). Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM). PeerJ Inc.
Cita Chicago Style (17a ed.)Farid, Ahmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin, y Laila A. Abd-Elmegid. Software Defect Prediction Using Hybrid Model (CBIL) of Convolutional Neural Network (CNN) and Bidirectional Long Short-term Memory (Bi-LSTM). PeerJ Inc, 2021.
Cita MLA (8a ed.)Farid, Ahmed Bahaa, et al. Software Defect Prediction Using Hybrid Model (CBIL) of Convolutional Neural Network (CNN) and Bidirectional Long Short-term Memory (Bi-LSTM). PeerJ Inc, 2021.
Precaución: Estas citas no son 100% exactas.