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Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization978-3-031-56460-4Series ISSN 2191-5520 Series E-ISSN 2191-5539一再烦扰 发表于 2025-3-22 01:46:10
https://doi.org/10.1007/978-3-031-56460-4Biomass Characterization; Anaerobic Digestion; Machine Learning; Database Management; Mathematical Model凝结剂 发表于 2025-3-22 06:23:09
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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).归功于 发表于 2025-3-22 13:04:28
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SpringerBriefs in Energyhttp://image.papertrans.cn/m/image/626708.jpg策略 发表于 2025-3-22 23:12:46
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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