Improved quantification of diverse CH4 sources at the urban scale is needed to guide local
GHG mitigation strategies in the Anthropocene. Herein, we focus on landfill CH4 emissions …

Solid waste prediction is crucial for sustainable solid waste management. Usually, accurate
waste generation record is challenge in develo** countries which complicates the …

In this study, an artificial neural networks (ANN) model was developed to predict the removal
of a polycyclic aromatic hydrocarbon (PAH), namely, naphthalene from marine oily …

Pollution, climate change, and waste accumulation are only some of the new problems that
have arisen because of the exponential population growth of the past few decades. As the …

This chapter proposes a modified failure mode effect analysis (FMEA) approach using
Artificial Neural Networks (ANNs) to evaluate and predict the operational risks of container …