Food waste (FW) is a severe environmental and social concern that today's civilization is
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …

Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …

The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …

Microbially driven anaerobic digestion (AD) processes are of immense interest due to their
role in the biovalorization of biowastes into renewable energy resources. The function …

Biorefinery systems are playing pivotal roles in the technological support of resource
efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential …

Anaerobic digestion (AD) is a promising technology for recovering value-added resources
from organic waste, thus achieving sustainable waste management. The performance of AD …

Agricultural waste biomass has shown great potential to deliver green energy produced by
biochemical and thermochemical conversion processes to mitigate future energy crises …

The objective of this research was to employ a low-cost device to produce biohydrogen with
several potential applications for clean energy. A multi-input and single-output (MISO) …

Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

Studies on develo** strategies to predict the stability and performance of the composting
process have increased in recent years. Machine learning (ML) has focused on process …