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16661 |
Using the minimum description length principle to reduce the rate of false positives of best-fit algorithms
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on bioinformatics and systems biology Bd. 2014, 3.7.2014, Nr. 1, date:12.2014: 1-8
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16662 |
Using weighting algorithms to refine source direction determinations in all-sky gravitational wave burst searches with two-detector networks
Enthalten in The European physical journal / Plus Bd. 133, 4.6.2018, Nr. 6, date:6.2018: 1-7
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16663 |
Using weighting algorithms to refine source direction determinations in all-sky gravitational wave burst searches with two-detector networks II: The case of elliptical polarization
Enthalten in The European physical journal / Plus Bd. 134, 26.3.2019, Nr. 3, date:3.2019: 1-12
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16664 |
USP wave basin: active wave absorption and generation algorithms
Enthalten in Marine Systems & Ocean Technology Bd. 5, 1.12.2011, Nr. 2, date:12.2010: 67-73
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16665 |
Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers
Enthalten in Innovative infrastructure solutions Bd. 9, 14.9.2024, Nr. 10, date:10.2024: 1-22
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16666 |
Utility optimization in heterogeneous networks via CSMA-based algorithms
Enthalten in Wireless networks Bd. 23, 15.12.2015, Nr. 1, date:1.2017: 219-232
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16667 |
Utilization of five data mining algorithms combined with simplified preprocessing to establish reference intervals of thyroid-related hormones for non-elderly adults
Enthalten in BMC medical research methodology Bd. 23, 2.5.2023, Nr. 1, date:12.2023: 1-13
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16668 |
Utilization of genetic algorithms to optimize loblolly pine wood property models based on NIR spectra and SilviScan data
Enthalten in Wood science and technology Bd. 56, 11.8.2022, Nr. 5, date:9.2022: 1419-1437
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16669 |
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip studies
Enthalten in BMC bioinformatics Bd. 7, 10.1.2006, Nr. 1, date:12.2006: 1-17
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16670 |
Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI)
Enthalten in BMC psychiatry Bd. 25, 18.3.2025, Nr. 1, date:12.2025: 1-12
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