has been cited by the following article(s):
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[1]
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An Upgraded CNN and LSTM Techniques for Predicting Biogas Production
2026 International Conference on Current Trends in Advanced Computing (ICCTAC),
2026
DOI:10.1109/ICCTAC68277.2026.11524529
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[2]
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Data‐Centric Evaluation of Machine Learning for Biogas Production Prediction
International Journal of Energy Research,
2026
DOI:10.1155/er/9261434
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[3]
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Managing the Internet of Things (IoT) for Business Transformation and Consumer Adoption
2026
DOI:10.4018/979-8-3373-3441-7.ch001
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[4]
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Bayesian–Causal Reinforcement Learning for adaptive and interpretable solar energy policy design
Egyptian Informatics Journal,
2025
DOI:10.1016/j.eij.2025.100853
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[5]
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Development of a Calculator to Estimate the Potential for Generating Electricity from Biogas Produced from Municipal Solid Waste
2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON),
2025
DOI:10.1109/CHILECON66915.2025.11476714
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[6]
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Transfer Learning for Deep Feature Extraction in Automated Rock Classification
2025 28th International Conference on Computer and Information Technology (ICCIT),
2025
DOI:10.1109/ICCIT68739.2025.11490291
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