1. Development of ternary models for prediction of biogas yield in a novel modular biodigester: a case of fuzzy Mamdani model (FMM), artificial neural network (ANN), and response surface methodology (RSM);Okwu;Biomass Convers. Biorefin.,2020
2. Evaluation of biogas yield and kinetics from the anaerobic co-digestion of cow dung and horse dung: a strategy for sustainable management of livestock manure;Alfa;Energy Ecol. Environ.,2021
3. M.O. Okwu, L.K. Tartibu, O.D. Samuel, H.O. Omoregbee, A.E. Ivbanikaro, Predictive ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to approximate biogas yield in a modular biodigester, Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I 16, Springer, 2021, pp. 202-215.
4. Influence of inoculum/substrate ratio on biogas yield and kinetics from the anaerobic co-digestion of food waste and maize husk;Owamah;Environ. Nanotechnol. Monit. Manage.,2021
5. Review of biochar role as additive in anaerobic digestion processes;Chiappero;Renew. Sustain. Energy Rev.,2020