Titlebook: Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization; Federico Moretta,Giulia Bozzano Book 2024 The Edit

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Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization978-3-031-56460-4Series ISSN 2191-5520 Series E-ISSN 2191-5539

一再煩擾

https://doi.org/10.1007/978-3-031-56460-4Biomass Characterization; Anaerobic Digestion; Machine Learning; Database Management; Mathematical Model

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Statistical Analysis,It is important to discover the connections undergoing between data in order to asses complete and robust mathematical relations (Quinn et al. in Bioinformatics 34(16):2870–2878, 2018).

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Synergisms and Antagonisms of Biomasses,e it gives the possibility to significantly improve process performances (Croce et al. in Biotechnol Adv 34(8):1289–1304, 2016; Xie et al. in Bioresour Technol 222:498–512, 2016). Indeed, the digestion of a single substrate might lead to poor outcomes in terms of substrate utilization and methane yi