The growing amount of tannery sludge (TS) generated from leather processing often
undergoes uncontrolled landfilling, or open dumping, releasing a significant volume of …

Abstract Machine learning through artificial neural networks have emerged as vital tools to
predict chemical behavior for many of the most recognized biomass valorization processes …

Prediction of clean hydrogen production via biomass gasification by supervised machine
learning algorithms was studied. Lab-scale gasification studies were performed in a steel …

Fenton and Fenton-like sludge conditioning processes have been studied intensively due to
their superior efficiency in improving sludge dewaterability. But these processes inevitably …

Sustainable valorization of tannery sludge (TS) is vital for achieving several sustainable
development goals (SDGs) in the tannery industry. TS is considered a hazardous waste by …

In today's economy, the leather industry is one of the most important manufacturing
industries in the world. Mismanaging solid waste in tanneries is the most significant …

In this study, artificial neural networks (ANNs) including feed forward back propagation
neural network (FFBP-NN) and the radial basis function neural network (RBF-NN) were …

By using microorganisms and the microalgae Chlorella vulgaris in conjunction with
sequencing batch reactors (SBRs), the performance of a wastewater treatment facility was …

Optimization of hydrodynamic parameters in counter flow inverse fluidized bed reactor
(IFBR) is studied in this paper. Comparative analysis was made between artificial neural …

The present article deals with the valorization of the organic content of tannery sludges to
produce energy vectors. In this scenario, gasification is a viable option to obtain a flexible …