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journal article·2024-01-05Open access

RETRACTED: Prasanna et al. Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments. Appl. Sci. 2023, 13, 8004

K. Prasanna, Mudassir Khan, Saeed M. Alshahrani, Ajmeera Kiran, P. Phanindra Kumar Reddy, Mofadal Alymani, J. Chinna Babu

Applied Sciences· Volume 14· Issue 2
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Abstract

The journal retracts the article “Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments” [...]
Only a short abstract or summary was supplied by the source.
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Research context

OpenAlex topics: Data Stream Mining Techniques · Anomaly Detection Techniques and Applications · Fault Detection and Control Systems

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Affiliations

Department of CSE(AI&ML), G. Narayanamma Institute of Technology and Science, (Autonomous), Hyderabad 500104, Telangana, India

Department of Computer Science, College of Science & Arts, King Khalid University, P.O. Box 960, Abha 61421, Saudi Arabia

Department of Computer Science, College of Computing and Information Technology, Shaqra University, P.O. Box 30, Shaqra 11961, Saudi Arabia

Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad 500043, Telangana, India

Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences (Autonomous), Rajampet 516126, Andhra Pradesh, India

Department of Computer Engineering, College of Computing and Information Technology, Shaqra University, P.O. Box 30, Shaqra 11961, Saudi Arabia

Department of Electronics and Communications Engineering, Annamacharya Institute of Technology and Sciences (Autonomous), Rajampet 516126, Andhra Pradesh, India

References (4)

Show source-provided references
1. Prasanna, K., Khan, M., Alshahrani, S.M., Kiran, A., Phanindra Kumar Reddy, P., Alymani, M., and Chinna Babu, J. (2023). Continual Learning Approach for Continuous Data Stream Analysis in Dynamic Environments. Appl. Sci., 13.10.3390/app13148004 ↗
2. (2023, November 14). Available online: https://towardsdatascience.com/activation-functions-neural-networks-1cbd9f8d91d6.
3. Straat, M., Abadi, F., Göpfert, C., Hammer, B., and Biehl, M. (2018). Statistical Mechanics of On-Line Learning under Concept Drift. Entropy, 20.10.20944/preprints201809.0104.v1 ↗
4. Eilers, P.J. (2020). On-Line Learning under Concept Drift, University of Groningen. Research Internship Project.