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1641 |
Retraction Note: Optoelectronic sensor fault detection based predictive maintenance smart industry 4.0 using machine learning techniques
Enthalten in Optical and quantum electronics Bd. 56, 9.9.2024, Nr. 9, date:9.2024: 1
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1642 |
Retraction Note: Parkinson’s disease prediction and drug personalization using machine learning techniques
Enthalten in Soft computing Bd. 28, 3.9.2024, Nr. 1, date:11.2024: 359
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1643 |
Retraction Note: Prediction of autism spectrum disorder from high-dimensional data using machine learning techniques
Enthalten in Soft computing Bd. 28, 27.8.2024, Nr. 1, date:11.2024: 261
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1644 |
Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques
Enthalten in Climatic change Bd. 176, 16.6.2023, Nr. 7, date:7.2023: 1-23
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1645 |
Revealing Personality through Handwriting: A Fusion of Graphology and Machine Learning Techniques
Enthalten in Pattern recognition and image analysis Bd. 34, 6.4.2025, Nr. 4, date:12.2024: 1037-1043
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1646 |
Review on crack detection in civil infrastructure using structural health monitoring and machine learning techniques
Enthalten in Innovative infrastructure solutions Bd. 10, 13.7.2025, Nr. 8, date:8.2025: 1-34
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1647 |
Review on Improved Machine Learning Techniques for Predicting Chronic Diseases
Enthalten in Optical memory and neural networks Bd. 33, 25.3.2024, Nr. 1, date:3.2024: 28-46
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1648 |
Revolutionizing Education: Advanced Machine Learning Techniques for Precision Recommendation of Top-Quality Instructional Materials
Enthalten in International journal of computational intelligence systems Bd. 16, 13.11.2023, Nr. 1, date:12.2023: 1-14
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1649 |
Rheological Behavior of SAE50 Oil–SnO2–CeO2 Hybrid Nanofluid: Experimental Investigation and Modeling Utilizing Response Surface Method and Machine Learning Techniques
Enthalten in Nanoscale research letters Bd. 17, 8.12.2022, Nr. 1, date:12.2022: 1-22
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1650 |
Rice plant disease diagnosing using machine learning techniques: a comprehensive review
Enthalten in SN applied sciences Bd. 4, 20.10.2022, Nr. 11, date:11.2022: 1-13
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