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27901 |
Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization
Enthalten in Environmental science and pollution research Bd. 31, 24.8.2024, Nr. 40, date:8.2024: 53219-53236
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27902 |
Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised machine learning approach
Enthalten in Scientific reports Bd. 12, 9.12.2022, Nr. 1, date:12.2022: 1-12
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27903 |
TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography
Enthalten in Scientific data Bd. 9, 25.11.2022, Nr. 1, date:12.2022: 1-17
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27904 |
Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis
Enthalten in Systematic Reviews Bd. 14, 22.2.2025, Nr. 1, date:12.2025: 1-12
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27905 |
Traditional Machine Learning and Deep Learning Modeling for Legume Species Recognition
Enthalten in SN Computer Science Bd. 3, 8.8.2022, Nr. 6, date:11.2022: 1-11
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27906 |
TRAF3 as a potential diagnostic biomarker for recurrent pregnancy loss: insights from single-cell transcriptomics and machine learning
Enthalten in BMC pregnancy and childbirth Bd. 25, 31.5.2025, Nr. 1, date:12.2025: 1-19
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27907 |
Traffic analysis for 5G network slice based on machine learning
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 28.4.2021, Nr. 1, date:12.2021: 1-15
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27908 |
Traffic Crash Severity: Comparing the Predictive Performance of Popular Statistical and Machine Learning Models Using the Glasgow Coma Scale
Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series A Bd. 104, 28.2.2023, Nr. 2, date:6.2023: 435-446
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27909 |
Traffic noise prediction model using GIS and ensemble machine learning: a case study at Universiti Teknologi Malaysia (UTM) Campus
Enthalten in Environmental science and pollution research Bd. 31, 12.10.2024, Nr. 51, date:11.2024: 60905-60926
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27910 |
Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records
Enthalten in Scientific reports Bd. 12, 28.7.2022, Nr. 1, date:12.2022: 1-8
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Administration
