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16751 |
USING SMOS PASSIVE MICROWAVE DATA TO DEVELOP SMAP FREEZE/THAW ALGORITHMS ADAPTED FOR THE CANADIAN SUBARCTIC
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W5, 2015: 365-368
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16752 |
Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments
Enthalten in BMC bioinformatics Bd. 22, 23.9.2021, Nr. 1, date:12.2021: 1-17
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16753 |
Using stochastic algorithms for constraining compartmental and markov channel models
Enthalten in BMC neuroscience Bd. 10, 13.7.2009, Nr. 1, date:9.2009: 1
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16754 |
Using the artificial bee colony technique to optimize machine learning algorithms in estimating the mature weight of camels
Enthalten in Tropical animal health and production Bd. 55, 17.2.2023, Nr. 2, date:4.2023: 1-10
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16755 |
Using the Hybrid Simulated Annealing-M5 Tree Algorithms to Extract the If-Then Operation Rules in a Single Reservoir
Enthalten in Water resources management Bd. 33, 2.8.2019, Nr. 10, date:8.2019: 3655-3672
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16756 |
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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16757 |
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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16758 |
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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16759 |
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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16760 |
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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