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1271 |
Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques
Enthalten in Medical & biological engineering & computing Bd. 61, 27.2.2023, Nr. 7, date:7.2023: 1649-1660
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1272 |
Prediction of global temperature anomaly by machine learning based techniques
Enthalten in Neural computing & applications Bd. 35, 15.4.2023, Nr. 21, date:7.2023: 15601-15614
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1273 |
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
Enthalten in Scientific reports Bd. 13, 21.4.2023, Nr. 1, date:12.2023: 1-20
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1274 |
Prediction of juvenile crime in Bangladesh due to drug addiction using machine learning and explainable AI techniques
Enthalten in Journal of computational social science Bd. 5, 12.8.2022, Nr. 2, date:11.2022: 1467-1487
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1275 |
Prediction of longitudinal surface settlement in composite formation using large-diameter shield machine based on machine learning techniques
Enthalten in Frontiers of structural and civil engineering Bd. 18, 4.12.2024, Nr. 12, date:12.2024: 1922-1936
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1276 |
Prediction of medical device performance using machine learning techniques: infant incubator case study
Enthalten in Health and Technology Bd. 10, 26.10.2019, Nr. 1, date:1.2020: 151-155
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1277 |
Prediction of mustard yield using different machine learning techniques: a case study of Rajasthan, India
Enthalten in International journal of biometeorology Bd. 67, 31.1.2023, Nr. 3, date:3.2023: 539-551
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1278 |
Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques
Enthalten in Journal of Big Data Bd. 7, 26.8.2020, Nr. 1, date:12.2020: 1-22
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1279 |
Prediction of shield tunneling-induced ground settlement using machine learning techniques
Enthalten in Frontiers of structural and civil engineering Bd. 13, 7.9.2019, Nr. 6, date:12.2019: 1363-1378
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1280 |
Prediction of slope stability based on five machine learning techniques approaches: a comparative study
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 19.3.2025, Nr. 5, date:5.2025: 1-28
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