Hybrid Whale Optimization based Bidirectional Gated Recurrent Unit with Pre-trained CNN model for Software Fault Detection-Reference-Cited by-同舟云学术

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Hybrid Whale Optimization based Bidirectional Gated Recurrent Unit with Pre-trained CNN model for Software Fault Detection

Published:2023-11-24 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
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Author:

Bhardwaj Arvind Kumar¹,Hs Sameena²,Pareek Piyush Kumar³,Bhujang Raghavi K⁴,Khan Zabiha⁵,Srinivas Chetana⁶

Affiliation:

1. Capgemini,Houston,Texas,USA

2. Global Academy of Technology,Dept of CSE,Bengaluru,India

3. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

4. Centre for Entrepreneurship MS Ramaiah Institute of Management,Bengaluru,India

5. Nitte Meenakshi Institute of Technology,Dept. Of AIML,Bengaluru,India

6. PES University, RR Campus,Department of CSE in AI & ML,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420831/10420858/10421718.pdf?arnumber=10421718

Reference21 articles.

1. Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques

2. Handling Class-Imbalance with KNN (Neighbourhood) Under-Sampling for Software Defect Prediction

3. Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction

4. A Survey on Software Defect Prediction Using Deep Learning

5. COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction

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