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	61	Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques Enthalten in Advanced energy & sustainability research 23.08.2023. 20 S.
	62	Technical Note: Accurate, reliable and high resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using machine learning techniques Enthalten in EGUsphere 18.08.2023: 1-27. 27 S.
	63	Correction: Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators Enthalten in Asian journal of civil engineering 8.8.2023: 1-3
	64	The use of machine learning techniques for assessing the potential of organizational resilience Enthalten in Central European journal of operations research 7.8.2023: 1-26
	65	Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques Enthalten in Wind energy science Bd. 8, 2023, Nr. 4: 621-637. 17 S.
	66	Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators Enthalten in Asian journal of civil engineering 28.7.2023: 1-15
	67	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
	68	ESG ratings explainability through machine learning techniques Enthalten in Annals of operations research 19.7.2023: 1-30
	69	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
	70	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

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