An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution

Research article (Neural Computing and Applications, 2023) · cited 11× · AI/ML
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An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution

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An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-approach-for-total-organic-carbon-prediction-using-convolutional-neural-networks-optimized-by-differential-evolution
MLA “An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-approach-for-total-organic-carbon-prediction-using-convolutional-neural-networks-optimized-by-differential-evolution.
BibTeX @misc{4ortxyz_an-approach-for-total-organic-carbon-prediction-using-convolutional-neural-networks-optimized-by-differential-evolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution}}, year = {2026}, url = {https://4ort.xyz/entity/an-approach-for-total-organic-carbon-prediction-using-convolutional-neural-networks-optimized-by-differential-evolution}, note = {Accessed: 2026-05-24}}
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