Items where Author is "Ishaq, A"

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Number of items: 6.

Article

Abubakar, UA and Lemar, GS and Bello, A-AD and Ishaq, A and Dandajeh, AA and Jagun, ZT and Houmsi, MR (2024) Evaluation of traditional and machine learning approaches for modeling volatile fatty acid concentrations in anaerobic digestion of sludge: potential and challenges. Environmental Science and Pollution Research. pp. 1-14. ISSN 0944-1344 DOI: https://doi.org/10.1007/s11356-024-33281-2

Ishaq, A and Said, MIM and Azman, SB and Houmsi, MR and Isah, AS and Jagun, ZT and Mohammad, SJ and Bello, AAD and Abubakar, UA (2024) The influence of various chemical oxygen demands on microbial fuel cells performance using leachate as a substrate. Environmental Science and Pollution Research. pp. 1-16. ISSN 0944-1344 DOI: https://doi.org/10.1007/s11356-024-32090-x

Ishaq, A and Said, MIM and Azman, SB and Abdulwahab, MF and Houmsi, MR and Jagun, ZT (2023) The effect of ammonia concentration on the treatment of bio electrochemical leachate using MFCs technology. Environmental Science and Pollution Research. pp. 1-16. ISSN 0944-1344 DOI: https://doi.org/10.1007/s11356-023-31472-x

Ishaq, A and Said, MIM and Azman, SB and Dandajeh, AA and Lemar, GS and Jagun, ZT (2023) Utilization of microbial fuel cells as a dual approach for landfill leachate treatment and power production: a review. Environmental Science and Pollution Research. pp. 1-51. ISSN 0944-1344 DOI: https://doi.org/10.1007/s11356-023-30841-w

Ishaq, A and Mohammad, SJ and Bello, A-AD and Wada, SA and Adebayo, A and Jagun, ZT (2023) Smart waste bin monitoring using IoT for sustainable biomedical waste management. Environmental Science and Pollution Research. pp. 1-16. ISSN 0944-1344 DOI: https://doi.org/10.1007/s11356-023-30240-1

Ishaq, A and Said, MIM and Azman, SB and Abdulwahab, MF and Jagun, ZT (2023) Optimizing total ammonia-nitrogen concentration for enhanced microbial fuel cell performance in landfill leachate treatment: a bibliometric analysis and future directions. Environmental Science and Pollution Research. pp. 1-22. ISSN 0944-1344 DOI: https://doi.org/10.1007/s11356-023-28580-z

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