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1 Ergebnisse
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Software defect prediction using hybrid model (CBIL) of con..:
Farid, Ahmed Bahaa
;
Fathy, Enas Mohamed
;
Sharaf Eldin, Ahmed
.
PeerJ Computer Science. 7 (2021) - p. e739 , 2021
Link:
https://doi.org/10.7717/peerj-cs.739
RT Journal T1
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
UL https://suche.suub.uni-bremen.de/peid=cr-10.7717_peerj-cs.739&Exemplar=1&LAN=DE A1 Farid, Ahmed Bahaa A1 Fathy, Enas Mohamed A1 Sharaf Eldin, Ahmed A1 Abd-Elmegid, Laila A. PB PeerJ YR 2021 SN 2376-5992 JF PeerJ Computer Science VO 7 SP e739 LK http://dx.doi.org/https://doi.org/10.7717/peerj-cs.739 DO https://doi.org/10.7717/peerj-cs.739 SF ELIB - SuUB Bremen
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