Machine learning approach for determining and optimizing influential factors of biogas production from lignocellulosic biomass
A Sonwai, P Pholchan, N Tippayawong - Bioresource Technology, 2023 - Elsevier
Abstract Machine learning (ML) was used to predict specific methane yields (SMY) with a
dataset of 14 features from lignocellulosic biomass (LB) characteristics and operating …
dataset of 14 features from lignocellulosic biomass (LB) characteristics and operating …
High-throughput phenotyping salt tolerance in JUNCAOs by combining prompt chlorophyll a fluorescence with hyperspectral spectroscopy
H Weng, M Wu, X Li, L Wu, J Li, TO Atoba, J Zhao… - Plant science, 2023 - Elsevier
The planting of salt-tolerant plants is regarded as the one of important measurements to
improve the saline–alkali lands. The outstanding biological properties of JUNCAOs have …
improve the saline–alkali lands. The outstanding biological properties of JUNCAOs have …
[HTML][HTML] Bio-oil production from hydrothermal liquefaction of Pennisetum purpureum× Pennisetum typhoideum
T Katongtung, S Phromphithak, T Onsree… - Energy Reports, 2022 - Elsevier
Among renewable and sustainable energy resources, biomass plays a vital role. Agricultural
residues/wastes, energy crops, and lignocellulosic biomass could potentially be major …
residues/wastes, energy crops, and lignocellulosic biomass could potentially be major …
Physico-chemical modification of elephant grass (Pennisetum purpureum) by steam explosion and surfactant impregnation for Cr (III) adsorption
V do Nascimento Simões, JA Brasil… - Brazilian Journal of …, 2024 - Springer
In this study was evaluated the adsorption capacity of trivalent chromium by using
commercial activated carbon as adsorbent and elephant grass (Pennisetum purpureum) as …
commercial activated carbon as adsorbent and elephant grass (Pennisetum purpureum) as …