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17681 |
Unveiling new insights into migraine risk stratification using machine learning models of adjustable risk factors
Enthalten in The journal of headache and pain Bd. 26, 6.5.2025, Nr. 1, date:12.2025: 1-14
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17682 |
Unveiling structural change patterns: an unsupervised machine learning approach to long-term dynamics
Enthalten in Humanities and Social Sciences Communications Bd. 12, 16.7.2025, Nr. 1, date:12.2025: 1-17
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17683 |
Unveiling sustainable tourism themes with machine learning based topic modeling
Enthalten in Discover sustainability Bd. 6, 14.4.2025, Nr. 1, date:12.2025: 1-28
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17684 |
Unveiling the antiviral inhibitory activity of ebselen and ebsulfur derivatives on SARS-CoV-2 using machine learning-based QSAR, LB-PaCS-MD, and experimental assay
Enthalten in Scientific reports Bd. 15, 26.2.2025, Nr. 1, date:12.2025: 1-12
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17685 |
Unveiling the effect of composition on nuclear waste immobilization glasses’ durability by nonparametric machine learning
Enthalten in npj Materials degradation Bd. 8, 15.4.2024, Nr. 1, date:12.2024: 1-11
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17686 |
Unveiling the epilepsy enigma: an agile and optimal machine learning approach for detecting inter-ictal state from electroencephalogram signals
Enthalten in International journal of information technology Bd. 16, 23.8.2024, Nr. 8, date:12.2024: 5149-5172
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17687 |
Unveiling the link between lactate metabolism and rheumatoid arthritis through integration of bioinformatics and machine learning
Enthalten in Scientific reports Bd. 14, 22.4.2024, Nr. 1, date:12.2024: 1-19
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17688 |
Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms
Enthalten in Future University in Egypt: Future business journal Bd. 11, 11.6.2025, Nr. 1, date:12.2025: 1-20
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17689 |
Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches
Enthalten in European journal of medical research Bd. 30, 26.5.2025, Nr. 1, date:12.2025: 1-36
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17690 |
Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework
Enthalten in Scientific reports Bd. 14, 29.8.2024, Nr. 1, date:12.2024: 1-21
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