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tit all "Algorithms"
im Bestand: Gesamter Bestand
16031 - 16040 von 17031
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16031
Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms
Enthalten in Scientific reports Bd. 15, 19.5.2025, Nr. 1, date:12.2025: 1-15
16032
ROBUST SPARSE MATCHING AND MOTION ESTIMATION USING GENETIC ALGORITHMS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-3/W2, 2015: 197-204
16033
Robust, practical and comprehensive analysis of soft compression image coding algorithms for big data
Enthalten in Scientific reports Bd. 13, 2.2.2023, Nr. 1, date:12.2023: 1-16
16034
Rock burst prediction based on genetic algorithms and extreme learning machine
Enthalten in Zhongnan-Daxue: Journal of Central South University Bd. 24, 7.10.2017, Nr. 9, date:9.2017: 2105-2113
16035
Rock characterization, UAV photogrammetry and use of algorithms of machine learning as tools in mapping discontinuities and characterizing rock masses in Acoculco Caldera Complex
Enthalten in Bulletin of engineering geology and the environment Bd. 83, 3.6.2024, Nr. 7, date:7.2024: 1-19
16036
Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
Enthalten in BMC medical informatics and decision making Bd. 24, 27.5.2024, Nr. 1, date:12.2024: 1-29
16037
Role of non-coding RNAs in quality improvement of horticultural crops: computational tools, databases, and algorithms for identification and analysis
Enthalten in Functional & integrative genomics Bd. 25, 4.4.2025, Nr. 1, date:12.2025: 1-46
16038
Role of routine abdominal ultrasonography in intensified tuberculosis case finding algorithms at HIV clinics in high TB burden settings
Enthalten in BMC infectious diseases Bd. 17, 18.5.2017, Nr. 1, date:12.2017: 1-8
16039
Roles of Vibration-Based Machine Learning Algorithms in Railway Vehicle Monitoring for Track Condition Assessment: A Review
Enthalten in Journal of vibration engineering & technologies Bd. 13, 21.3.2025, Nr. 4, date:4.2025: 1-36
16040
Rolling Element Bearing Fault Diagnosis Using Discrete Mayer Wavelet and Fault Classification Using Machine Learning Algorithms
Enthalten in Journal of vibration engineering & technologies Bd. 13, 13.1.2025, Nr. 1, date:1.2025: 1-22
16031 - 16040 von 17031
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