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	71	Comments on “Splitting tensile strength prediction of sustainable high-performance concrete using machine learning techniques” by Wu, Yangi et al., https://doi.org/10.1007/s11356-022-22048-2 Enthalten in Environmental science and pollution research 21.7.2023: 1-2
	72	ESG ratings explainability through machine learning techniques Enthalten in Annals of operations research 19.7.2023: 1-30
	73	Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study Enthalten in Energy systems 9.5.2023: 1-35
	74	Count Regression and Machine Learning Techniques for Zero-Inflated Overdispersed Count Data: Application to Ecological Data Enthalten in Annals of data science 13.4.2023: 1-15
	75	A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques Enthalten in International journal of artificial intelligence in education 30.3.2023: 1-44
	76	Prediction of Solid Propellant Burning Rate Characteristics Using Machine Learning Techniques Enthalten in Propellants, explosives, pyrotechnics 16.03.2023. 14 S.
	77	Environmental factors influencing DDT–DDE spatial distribution in an agricultural drainage system determined by using machine learning techniques Enthalten in Environmental geochemistry and health 7.2.2023: 1-19
	78	Applications and Techniques for Fast Machine Learning in Science McCarn Deiana, Allison. - Darmstadt : Universitäts- und Landesbibliothek, 2022
	79	Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district Khalil, Umer. - Aachen : Universitätsbibliothek der RWTH Aachen, 2022
	80	Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records Vyas, Akhilesh. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2022

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