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	371	Enhancement of electricity theft detection model for electricity metering system using machine learning and Pearson’s correlation coefficient Enthalten in International journal of emerging electric power systems Bd. 26, 2025, Nr. 6: 1127-1137. 11 S.
	372	Differentiation of primary and secondary marine organic aerosol with machine learning Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 21: 14205-14219. 15 S.
	373	Rethinking machine learning weather normalisation: a refined strategy for short-term air pollution policies Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 20: 13585-13596. 12 S.
	374	Estimating surface sulfur dioxide concentrations from satellite data over eastern China: Using chemical transport models vs. machine learning Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 20: 13527-13545. 19 S.
	375	Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 19: 12549-12567. 19 S.
	376	Global ionospheric sporadic <italic>E</italic> intensity prediction from GNSS RO using a novel stacking machine learning method incorporated with physical observations Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 11517-11534. 18 S.
	377	A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 2: Spatial–temporal patterns of convective organisation Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10797-10822. 26 S.
	378	A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 1: Influence of deep convective cores on the cloud life cycle Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10773-10795. 23 S.
	379	Dust pollution substantially weakens the impact of ammonia emission reduction on particulate nitrate formation Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10587-10601. 15 S.
	380	Impact of topographic wind conditions on dust particle size distribution: insights from a regional dust reanalysis dataset Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 17: 9583-9600. 18 S.

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