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27811 |
Unveiling CM-Det: leveraging ConvMixer architecture for advanced object detection
Enthalten in International journal of information technology Bd. 16, 16.7.2024, Nr. 7, date:10.2024: 4273-4278
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27812 |
Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning
Enthalten in Peer-to-peer networking and applications Bd. 17, 23.12.2023, Nr. 1, date:1.2024: 507-531
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27813 |
Unveiling lipoprotein subfractions signature in high-FNPO PCOS: implications for PCOM diagnosis and risk assessment using advanced machine learning models
Enthalten in BMC medicine Bd. 23, 19.5.2025, Nr. 1, date:12.2025: 1-12
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27814 |
Unveiling Marketing Potential: Harnessing Advanced Analytics and Machine Learning for Gold Membership Strategy Optimization in a Superstore
Enthalten in SN Computer Science Bd. 5, 29.3.2024, Nr. 4, date:4.2024: 1-22
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27815 |
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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27816 |
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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27817 |
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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27818 |
Unveiling the Cutting Edge: A Comprehensive Survey of Localization Techniques in WSN, Leveraging Optimization and Machine Learning Approaches
Enthalten in Wireless personal communications Bd. 132, 29.9.2023, Nr. 4, date:10.2023: 2293-2362
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27819 |
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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27820 |
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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Administration
