Composting technologies have come a long way, developing from static heaps and windrow
composting to smart, artificial intelligence-assisted reactor composting. While in previous …

The consumption of energy levels has increased in association with economic growth and
concurrently increased the energy demand from renewable sources. The need under …

This study aimed to evaluate the influence of rice husk addition on compost quality and
maturity in sewage sludge composting using a pilot scale aerated in-vessel reactor. During …

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

Abstract Di-(2-ethylhexyl) phthalate (DEHP), a plasticizer derived from phthalate ester, is
used as an additive in industrial products such as plastics, paints, and medical devices …

This experiment aimed to investigate changes in enzyme activity, microbial succession, and
nitrogen conversion caused by different initial carbon-to-nitrogen ratios of 25: 1, 35: 1 and …

Despite the role of microorganisms in nitrogen biotransformation has been extensively
explored, how microorganisms mitigate NH 3 emissions in the transformation of nitrogen …

In this study, the use of Deep Cascade Forward Neural Network (DCFNN) was investigated
to model both linear and non-linear chaotic relationships in co-composting of dewatered …

In this research study, a novel demand response program (DRP) has been proposed for
renewable-based microgrids (MGs) which takes into account the high penetration of tidal …

The dynamic price increases of fertilizers and the generation of organic waste are currently
global issues. The growth of the population has led to increased production of solid …