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27081 |
Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Enthalten in Physical and engineering sciences in medicine Bd. 48, 27.1.2025, Nr. 1, date:3.2025: 391-407
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27082 |
Significance of Sequence Features in Classification of Protein–Protein Interactions Using Machine Learning
Enthalten in The protein journal Bd. 43, 19.12.2023, Nr. 1, date:2.2024: 72-83
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27083 |
Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
Enthalten in Artificial intelligence review Bd. 57, 26.6.2024, Nr. 7, date:7.2024: 1-46
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27084 |
Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach
Enthalten in Asian journal of civil engineering Bd. 25, 2.1.2024, Nr. 3, date:4.2024: 2963-2977
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27085 |
Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment
Enthalten in Environmental science and pollution research Bd. 30, 18.10.2023, Nr. 53, date:11.2023: 113660-113673
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27086 |
Similarity of fast and slow earthquakes illuminated by machine learning
Enthalten in Nature geoscience Bd. 12, 17.12.2018, Nr. 1, date:1.2019: 69-74
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27087 |
Similarity of immune-associated markers in COVID-19 and Kawasaki disease: analyses from bioinformatics and machine learning
Enthalten in BMC pediatrics Bd. 25, 19.5.2025, Nr. 1, date:12.2025: 1-15
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27088 |
SimIMA: a virtual Simulink intelligent modeling assistant
Enthalten in Software and systems modeling Bd. 23, 13.3.2023, Nr. 1, date:2.2024: 29-56
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27089 |
SIMPD: an algorithm for generating simulated time splits for validating machine learning approaches
Enthalten in Journal of cheminformatics Bd. 15, 11.12.2023, Nr. 1, date:12.2023: 1-16
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27090 |
Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions
Enthalten in BMC bioinformatics Bd. 12, 3.10.2011, Nr. 8, date:12.2011: 1-9
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