Design an Efficient Neural Network to Determine the Rate of Contamination in the Tigris River in Baghdad City
This article proposes a new technique for determining the rate of contamination. First, a generative adversarial neural network (ANN) parallel processing technique is constructed and trained using real and secret images. Then, after the model is stabilized, the real image is passed to the generator...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad
2025-03-01
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| Series: | Iraqi Journal of Physics |
| Subjects: | |
| Online Access: | https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/1338 |
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