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	17571	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
	17572	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
	17573	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
	17574	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
	17575	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
	17576	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
	17577	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
	17578	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
	17579	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
	17580	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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