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1531 |
Non-destructive estimation of the bruising time in kiwifruit based on spectral and textural data fusion by machine learning techniques
Enthalten in Journal of food measurement and characterization Bd. 18, 28.6.2024, Nr. 8, date:8.2024: 6872-6885
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1532 |
Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques
Enthalten in Scientific reports Bd. 14, 7.5.2024, Nr. 1, date:12.2024: 1-12
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1533 |
Non-invasive real-time multimodal deception detection using machine learning and parallel computing techniques
Enthalten in Social network analysis and mining Bd. 14, 7.5.2024, Nr. 1, date:12.2024: 1-16
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1534 |
Numerical model of debris flow susceptibility using slope stability failure machine learning prediction with metaheuristic techniques trained with different algorithms
Enthalten in Scientific reports Bd. 14, 22.8.2024, Nr. 1, date:12.2024: 1-27
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1535 |
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Enthalten in Archives of computational methods in engineering Bd. 30, 4.4.2023, Nr. 5, date:6.2023: 3173-3233
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1536 |
Operations Research, Machine Learning, and Integrated Techniques for Decision Problems in the Seaside Area of Container Terminals
Enthalten in Operations research forum Bd. 6, 22.4.2025, Nr. 2, date:6.2025: 1-51
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1537 |
Optimal design of renewable energy based hybrid system considering weather forecasting using machine learning techniques
Enthalten in Electrical engineering Bd. 105, 31.7.2023, Nr. 6, date:12.2023: 4229-4249
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1538 |
Optimisation of Gasoline Engines Automation and Machine Learning Techniques in Calibration
Enthalten in ATZ-Elektronik worldwide Bd. 12, 9.6.2017, Nr. 3, date:6.2017: 48-53
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1539 |
Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques
Enthalten in Scientific reports Bd. 15, 21.8.2025, Nr. 1, date:12.2025: 1-20
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1540 |
Optimized machine learning-based enhanced modeling of pile bearing capacity in layered soils using random and grid search techniques
Enthalten in Earth science informatics Bd. 18, 19.3.2025, Nr. 4, date:4.2025: 1-21
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