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131 |
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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132 |
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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133 |
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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134 |
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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135 |
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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136 |
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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137 |
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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138 |
Comorbidity diagnosis using machine learning: Fuzzy decision-making approach
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 18 S.
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139 |
Enhancing highway security and wildlife safety: Mitigating wildlife–vehicle collisions with deep learning and drone technology
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 27 S.
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140 |
Explaining the high skill of reservoir computing methods in El Niño prediction
Enthalten in Nonlinear processes in geophysics Bd. 32, 2025, Nr. 2: 201-224. 24 S.
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