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1701 |
Survey of machine learning techniques for Arabic fake news detection
Enthalten in Artificial intelligence review Bd. 57, 28.5.2024, Nr. 6, date:6.2024: 1-33
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1702 |
Survey on Machine Learning and Deep Learning Techniques for Agriculture Land
Enthalten in SN Computer Science Bd. 2, 18.10.2021, Nr. 6, date:11.2021: 1-12
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1703 |
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques
Enthalten in BMC medical research methodology Bd. 20, 16.11.2020, Nr. 1, date:12.2020: 1-14
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1704 |
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Enthalten in Scientific reports Bd. 14, 29.1.2024, Nr. 1, date:12.2024: 1-12
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1705 |
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Enthalten in Earth science informatics Bd. 18, 4.1.2025, Nr. 1, date:1.2025: 1-34
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1706 |
Symptom clusters among cancer survivors: what can machine learning techniques tell us?
Enthalten in BMC medical research methodology Bd. 21, 16.8.2021, Nr. 1, date:12.2021: 1-12
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1707 |
Synergetic use of geospatial and machine learning techniques in modelling landslide susceptibility in parts of Shimla to Kinnaur National Highway, Himachal Pradesh
Enthalten in Modeling earth systems and environment Bd. 10, 18.4.2024, Nr. 3, date:6.2024: 4163-4183
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1708 |
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics
Enthalten in Brain Informatics Bd. 11, 14.1.2024, Nr. 1, date:12.2024: 1-13
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1709 |
Synergizing multiple machine learning techniques and remote sensing for advanced landslide susceptibility assessment: a case study in the Three Gorges Reservoir Area
Enthalten in Environmental earth sciences Bd. 83, 2.4.2024, Nr. 8, date:4.2024: 1-20
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1710 |
Synergizing quantum techniques with machine learning for advancing drug discovery challenge
Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-12
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