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 …
[HTML][HTML] Data science and big data analytics: A systematic review of methodologies used in the supply chain and logistics research
Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …
extensively in supply chains and logistics (SC &L). However, the existing insights are …
Supply chain management 4.0: a literature review and research framework
K Zekhnini, A Cherrafi, I Bouhaddou… - Benchmarking: An …, 2021 - emerald.com
Purpose This article presents a review of the existing state-of-the-art literature concerning
Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship …
Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship …
The role of machine learning to boost the bioenergy and biofuels conversion
The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …
a significant role for the production of renewable and sustainable energy sources in the …
A model integrating lean and green practices for viable, sustainable, and digital supply chain performance
K Zekhnini, A Cherrafi, I Bouhaddou… - … Journal of Production …, 2022 - Taylor & Francis
In disrupted environments, the concept of digitalisation, viability, and sustainability have
attracted considerable attention for the last decade. Digital, lean, and green capabilities …
attracted considerable attention for the last decade. Digital, lean, and green capabilities …
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 …
Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data
Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics
and to improve the digester performance. This is an essential yet difficult task due to the …
and to improve the digester performance. This is an essential yet difficult task due to the …
Biogas generation from biomass as a cleaner alternative towards a circular bioeconomy: Artificial intelligence, challenges, and future insights
In recent years, the growing trend of energy consumption from fossil fuels in the world has
faced mankind with two major crises of environmental pollution and the increasing …
faced mankind with two major crises of environmental pollution and the increasing …
Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …