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34151 |
Prediction of water stability of metal–organic frameworks using machine learning
Enthalten in Nature machine intelligence Bd. 2, 9.11.2020, Nr. 11, date:11.2020: 704-710
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34152 |
Prediction of weld residual stresses based on numerical simulation and machine learning: a review
Enthalten in The international journal of advanced manufacturing technology Bd. 138, 22.5.2025, Nr. 7-8, date:6.2025: 2731-2779
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34153 |
Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models
Enthalten in Applied water science Bd. 14, 9.12.2023, Nr. 1, date:1.2024: 1-15
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34154 |
Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning
Enthalten in Scientific reports Bd. 14, 10.2.2024, Nr. 1, date:12.2024: 1-12
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34155 |
Prediction of Zonal Wind Using Machine Learning Algorithms: Implications to Future Projections of Indian Monsoon Jets
Enthalten in Indian Society of Remote Sensing: Journal of the Indian Society of Remote Sensing Bd. 52, 20.2.2024, Nr. 2, date:2.2024: 371-381
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34156 |
Prediction on the spatial distribution of the seropositive rate of schistosomiasis in Hunan Province, China: a machine learning model integrated with the Kriging method
Enthalten in Parasitology research Bd. 123, 4.9.2024, Nr. 9, date:9.2024: 1-10
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34157 |
Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes
Enthalten in Journal of petroleum exploration and production technology Bd. 11, 23.2.2021, Nr. 3, date:3.2021: 1233-1261
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34158 |
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
Enthalten in BMC medical informatics and decision making Bd. 23, 29.7.2023, Nr. 1, date:12.2023: 1-13
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34159 |
Prediction rotary drilling penetration rate in lateritic soils using machine learning models
Enthalten in Discover civil engineering Bd. 2, 19.3.2025, Nr. 1, date:12.2025: 1-21
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34160 |
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 24, 6.2.2024, Nr. 1, date:12.2024: 1-11
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