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181 |
Recent developments and prospects of machine learning in chemical engineering
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 309-310. 02 S.
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182 |
Flotation equipment automation and intelligent froth feature extraction in flotation process: a review
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 3: 225-239. 15 S.
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183 |
A systematic review on the application of machine learning in carbon dioxide absorption in amine-related solvents
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 2: 147-178. 032 S.
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184 |
Interpreting the relationship between properties of wood and pulping & paper via machine learning algorithms combined with SHAP analysis
Enthalten in Nordic pulp & paper research journal Bd. 40, 2025, Nr. 1: 149-160. 12 S.
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185 |
Use of machine learning methods for modelling mechanical parameters of PLA and PLA/native potato starch compound using aging data
Enthalten in International polymer processing Bd. 40, 2025, Nr. 1: 94-109. 16 S.
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186 |
Unlocking potential: the role of chemometric modeling in pulp and paper manufacturing
Enthalten in Nordic pulp & paper research journal Bd. 40, 2025, Nr. 1: 71-82. 12 S.
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187 |
Controllability and diffeomorphism groups on manifolds with boundary
Enthalten in Forum mathematicum Bd. 37, 2025, Nr. 4: 1291-1308. 18 S.
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188 |
Construction of a model for predicting sensory attributes of cosmetic creams using instrumental parameters based on machine learning
Enthalten in Applied rheology Bd. 35, 2025, Nr. 1. 20 S.
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189 |
A comprehensive review of deep learning and machine learning techniques for early-stage skin cancer detection: Challenges and research gaps
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 35 S.
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190 |
A refined methodological approach: Long-term stock market forecasting with XGBoost
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 17 S.
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