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tit all "Machine Learning Techniques"
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1201 - 1210 von 1450
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1201
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
1202
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
1203
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
1204
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
1205
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
1206
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
1207
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
1208
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
1209
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
1210
Optimized Machine Learning Techniques for Precise Breast Cancer Detection in Mammograms
Enthalten in SN Computer Science Bd. 6, 15.4.2025, Nr. 4, date:4.2025: 1-22
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