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	151	Mathematical formulation of the machine learning backpropagation network and regression modelling of the chemical stability and thermal properties of PLA/HKUST-1 fabricated porous membranes Enthalten in Journal of thermal analysis and calorimetry Bd. 149, 18.11.2024, Nr. 23, date:12.2024: 13851-13864
	152	Modeling geothermal energy potential zones in the Bertoua region and surroundings with machine learning using descent gradient based on linear-regression model (Eastern Cameroon) Enthalten in Modeling earth systems and environment Bd. 10, 14.6.2024, Nr. 4, date:8.2024: 5293-5308
	153	Modeling Global Monkeypox Infection Spread Data: A Comparative Study of Time Series Regression and Machine Learning Models Enthalten in Current microbiology Bd. 81, 25.11.2023, Nr. 1, date:1.2024: 1-14
	154	Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction Enthalten in Environmental earth sciences Bd. 79, 14.5.2020, Nr. 10, date:5.2020: 1-15
	155	Modelling of total dissolved solids in water supply systems using regression and supervised machine learning approaches Enthalten in Applied water science Bd. 11, 14.1.2021, Nr. 2, date:2.2021: 1-16
	156	Multivariate Adaptive Regression Splines (MARS) analysis and complementary machine learning approaches in predicting earthquake-induced slope displacements Enthalten in Earth science informatics Bd. 18, 13.5.2025, Nr. 2, date:6.2025: 1-17
	157	Norman Matloff (2017): statistical regression and classification: from linear models to machine learning Enthalten in Statistical papers Bd. 61, 21.1.2020, Nr. 2, date:4.2020: 917-918
	158	Numerical experiments on tsunami flow depth prediction for clustered areas using regression and machine learning models Enthalten in Earth, planets and space Bd. 74, 17.8.2022, Nr. 1, date:12.2022: 1-10
	159	On optimization based extreme learning machine in primal for regression and classification by functional iterative method Enthalten in International journal of machine learning and cybernetics Bd. 7, 1.8.2014, Nr. 5, date:10.2016: 707-728
	160	On the Choice of Regression Basis Functions and Machine Learning Enthalten in Sankt-Peterburgskij gosudarstvennyj universitet: Vestnik / Mathematics Bd. 55, 6.6.2022, Nr. 1, date:3.2022: 7-15

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