Management of sustainable aquaculture necessitates accurate prediction of water quality parameters, since environmental variability is an important factor in determining aquatic productivity and ecological stability. Traditional machine learning systems are usually limited by inefficient parameter optimization, featu...
A. Abdel-Aty, A. J. Almalki, S. Ghorashi et al.· Frontiers in Sustainable Foo...· 0 citations
The suggested framework proved to be generalizable and scalable, suggesting its efficiency in cybersecurity applications that necessitate flexibility and intelligence, and demonstrates a foundational step towards real-time, high performance hybrid quantum - deep learning models for cyber threat detection and prevention...
Abdel-Haleem Abdel-Aty, Mohammed Farsi, M. Hafez et al.· Scientific Reports· 0 citations
Experimental evaluations on the UCI SMS Spam Collection dataset demonstrate that the TF-IDF-PCA-DT pipeline achieves a detection accuracy of 99% while reducing model size by 77% and inference time by 75%, demonstrating the practicality of the proposed framework for real-world deployment in resource-constrained environm...
Baraa Tareq Hammad, Ismail Taha Ahmed, Mohamed A. Hafez et al.· De Computis· 0 citations
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