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21571 - 21580 von 22324

	21571	Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms Enthalten in Aerosol and Air Quality Research Bd. 22, 27.1.2022, Nr. 3, date:3.2022: 1-13
	21572	Space alternating penalized Kullback proximal point algorithms for maximizing likelihood with nondifferentiable penalty Enthalten in Tōkei-Sūri-Kenkyūsho (Tokio): Annals of the Institute of Statistical Mathematics Bd. 64, 11.8.2011, Nr. 4, date:8.2012: 791-809
	21573	Spanning and Spacing: Commentary on ‘New Possibilities for Fair Algorithms’ Enthalten in Philosophy & technology Bd. 37, 27.11.2024, Nr. 4, date:12.2024: 1-3
	21574	Sparse algorithms for EEG source localization Enthalten in Medical & biological engineering & computing Bd. 59, 2.10.2021, Nr. 11-12, date:11.2021: 2325-2352
	21575	Sparse matrix algorithms applied to dem generation Enthalten in Bulletin géodésique Bd. 57, 1.3.1983, Nr. 1-4, date:3.1983: 43-61
	21576	Spatial Analysis of Land Use Land Cover Dynamics in the Madurai District Using Sentinel-2 Data and Supervised Learning Algorithms Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4-2024, 2024: 367-372. 6 S.
	21577	Spatial and Spectral Analysis of Resampling Algorithms in Image Fusion of Optical and Microwave Satellite Images: A Case Study Over Western Himalayas Enthalten in Indian Society of Remote Sensing: Journal of the Indian Society of Remote Sensing Bd. 52, 19.7.2024, Nr. 10, date:10.2024: 2317-2334
	21578	Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms Enthalten in Environmental monitoring and assessment Bd. 197, 9.4.2025, Nr. 5, date:5.2025: 1-15
	21579	SPATIAL DOWNSCALING OF GPM IMERG V06 GRIDDED PRECIPITATION USING MACHINE LEARNING ALGORITHMS Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 327-332. 6 S.
	21580	Spatial Fuzzy C Means and Expectation Maximization Algorithms with Bias Correction for Segmentation of MR Brain Images Enthalten in Journal of medical systems Bd. 41, 13.12.2016, Nr. 1, date:1.2017: 1-9