Machine learning in natural and engineered water systems
R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …
sustainable development. To better protect the water environment and conserve water …
Application of machine learning in anaerobic digestion: Perspectives and challenges
Anaerobic digestion (AD) is widely adopted for remediating diverse organic wastes with
simultaneous production of renewable energy and nutrient-rich digestate. AD process …
simultaneous production of renewable energy and nutrient-rich digestate. AD process …
Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review
H Guo, S Wu, Y Tian, J Zhang, H Liu - Bioresource technology, 2021 - Elsevier
Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …
Machine learning and circular bioeconomy: Building new resource efficiency from diverse waste streams
Biorefinery systems are playing pivotal roles in the technological support of resource
efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential …
efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential …
Review of explainable machine learning for anaerobic digestion
Anaerobic digestion (AD) is a promising technology for recovering value-added resources
from organic waste, thus achieving sustainable waste management. The performance of AD …
from organic waste, thus achieving sustainable waste management. The performance of AD …
Insights into the recent advances of agro-industrial waste valorization for sustainable biogas production
Recent years have seen a transition to a sustainable circular economy model that uses agro-
industrial waste biomass waste to produce energy while reducing trash and greenhouse gas …
industrial waste biomass waste to produce energy while reducing trash and greenhouse gas …
Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models
Interest in anaerobic co-digestion (AcoD) has increased significantly in recent decades
owing to enhanced biogas productivity due to the utilization of different organic wastes, such …
owing to enhanced biogas productivity due to the utilization of different organic wastes, such …
[HTML][HTML] Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
Nitrous oxide (N 2 O) is a key parameter for evaluating the greenhouse gas emissions from
wastewater treatment plants. In this study, a new method for predicting liquid N 2 O …
wastewater treatment plants. In this study, a new method for predicting liquid N 2 O …
[HTML][HTML] Innovative artificial neural network approach for integrated biogas–wastewater treatment system modelling: Effect of plant operating parameters on process …
P Sakiewicz, K Piotrowski, J Ober, J Karwot - Renewable and Sustainable …, 2020 - Elsevier
An anaerobic fermentation process for biogas production integrated with wastewater
purification in a modern wastewater treatment plant (WWTP) of designed nominal capacity …
purification in a modern wastewater treatment plant (WWTP) of designed nominal capacity …
Artificial intelligence technologies in bioprocess: opportunities and challenges
Y Cheng, X Bi, Y Xu, Y Liu, J Li, G Du, X Lv, L Liu - Bioresource Technology, 2023 - Elsevier
Bioprocess control and optimization are crucial for tapping the metabolic potential of
microorganisms, and which have made great progress in the past decades. Combination of …
microorganisms, and which have made great progress in the past decades. Combination of …