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	12221	Molecular graphs and entropy based QSPR analysis of drugs by using machine learning Enthalten in Discover computing Bd. 28, 13.5.2025, Nr. 1, date:12.2025: 1-34
	12222	Molecular similarity for machine learning in drug development Enthalten in Chemistry central journal Bd. 2, 26.03.2008, Nr. 1, date:3.2008: 1
	12223	Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia Enthalten in Cancer cell international Bd. 23, 6.4.2023, Nr. 1, date:12.2023: 1-14
	12224	Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models Enthalten in Scientific reports Bd. 14, 14.3.2024, Nr. 1, date:12.2024: 1-23
	12225	MONITORING FOREST DEGRADATION OVER FOUR DECADES USING REMOTE SENSING AND MACHINE LEARNING CLASSIFICATION ALGORITHMS IN BOUSKOURA, MOROCCO Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W9-2024, 2024: 337-342. 6 S.
	12226	MONITORING GROUNDWATER STORAGE BASINS AND HYDROLOGICAL CHANGES USING THE GRACE SATELLITE AND SENTINEL-1 FOR THE GANGA RIVER BASIN Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-3-2023, 2023: 95-100. 6 S.
	12227	Monitoring Snow Water Equivalent (SWE) Using MODIS Time-Series Data and Machine Learning in Turnagain Arm, Alaska Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-G-2025, 2025: 781-787. 7 S.
	12228	Monitoring sustainable development by means of earth observation data and machine learning: a review Enthalten in Environmental sciences Europe Bd. 32, 21.9.2020, Nr. 1, date:12.2020: 1-17
	12229	Monitoring the gas metal arc additive manufacturing process using unsupervised machine learning Enthalten in Welding in the world Bd. 68, 23.9.2024, Nr. 11, date:11.2024: 2853-2867
	12230	Monitoring the invasion of Campuloclinium macrocephalum (less) DC plants using a novel MaxEnt and machine learning ensemble in the Cradle Nature Reserve, South Africa Enthalten in Environmental Systems Research Bd. 13, 10.7.2024, Nr. 1, date:12.2024: 1-20

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