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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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	1421	Seismic characterization of carbonate stringers using machine learning techniques: an example from the western flank of South Oman Salt Basin Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-18
	1422	Sense disambiguation for Punjabi language using supervised machine learning techniques Enthalten in Sādhāna Bd. 44, 31.10.2019, Nr. 11, date:11.2019: 1-15
	1423	Sentiment classification on product reviews using machine learning and deep learning techniques Enthalten in International journal of system assurance engineering and management Bd. 15, 10.11.2024, Nr. 12, date:12.2024: 5726-5741
	1424	Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks Enthalten in Scientific reports Bd. 12, 5.12.2022, Nr. 1, date:12.2022: 1-13
	1425	Simplified reliability analysis of multi hazard risk in gravity dams via machine learning techniques Enthalten in Archives of civil and mechanical engineering Bd. 18, 9.11.2017, Nr. 2, date:6.2018: 592-610
	1426	Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 2.6.2023, Nr. 1, date:12.2023: 1-17
	1427	Skin Cancer Detection and Classification System by Applying Image Processing and Machine Learning Techniques Enthalten in Optical memory and neural networks Bd. 32, 25.9.2023, Nr. 3, date:9.2023: 197-203
	1428	Soft Clustering for Enhancing ITU Rain Model based on Machine Learning Techniques Enthalten in Wireless personal communications Bd. 120, 24.5.2021, Nr. 1, date:9.2021: 287-305
	1429	Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches Enthalten in Journal of building pathology and rehabilitation Bd. 9, 19.6.2024, Nr. 2, date:12.2024: 1-29
	1430	Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-21

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