The application of a machine learning (ML) model to bio-electrochemical anaerobic
digestion (BEAD) is a future-oriented approach for improving process stability by predicting …

Growing concern about global climate change has led to considerable interest in
investigating renewable energy sources such as the biological conversion of biomass to …

Anaerobic treatment is a viable alternative for the treatment of agro-industrial waste.
Anaerobic digestion reduces organic load and produces volatile fatty acids (VFA), which are …

This paper deals with the design of a software sensor based on a high-order sliding mode
observer (HOSMO) for online estimation of the concentration of volatile fatty acids (VFA's) in …

State estimation is a widely adopted soft sensing technique that incorporates predictions
from an accurate model of the process and measurements to provide reliable estimates of …

Biomass is becoming an important feedstock to be used in anaerobic digesters throughout
the world due to its abundance and fast growth. Most common anaerobic digesters do not …