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81 |
Accelerating process control and optimization via machine learning: a review
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 401-418. 018 S.
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82 |
A tutorial review of machine learning-based model predictive control methods
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 359-400. 042 S.
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83 |
Uncertainty quantification and propagation in atomistic machine learning
Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 333-357. 025 S.
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84 |
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.
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85 |
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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86 |
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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87 |
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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88 |
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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89 |
A stacking ensemble classification model for determining the state of nitrogen-filled car tires
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 13 S.
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90 |
Application and optimization of machine learning algorithms for optical character recognition in complex scenarios
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 14 S.
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