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	311	Recent advances in continuous nanomanufacturing: focus on machine learning-driven process control Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 311-331. 021 S.
	312	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.
	313	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.
	314	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.
	315	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.
	316	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.
	317	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.
	318	Artificial Intelligence and Machine Learning in Reconstructive Microsurgery Enthalten in Seminars in plastic surgery Bd. 39, 2025, Nr. 03: 190-198
	319	Machine Learning‐Driven Grayscale Digital Light Processing for Mechanically Robust 3D‐Printed Gradient Materials (Adv. Mater. 42/2025) Enthalten in Advanced materials Bd. 37, 2025, Nr. 42. 1 S.
	320	Machine Learning‐Enhanced Modular Ionic Skin for Broad‐Spectrum Multimodal Discriminability in Bidirectional Human–Robot Interaction (Adv. Mater. 42/2025) Enthalten in Advanced materials Bd. 37, 2025, Nr. 42. 1 S.

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