References
Nanyama, M., Mwanaumo, E., & Tembo, J. M. (2021). DEMYSTIFYING USE OF SEPTIC TANKS FOR WASTE WATER TREATMENT IN DEVELOPING COUNTRIES. Journal of Natural and Applied Sciences, 5(1), 16-24. Deng, L., Liu, Y., Wang, W., Pan, K., Shi, G., & Cheng, J. (2020). Biogas Digester for Domestic Sewage Treatment. Biogas Technology, 69-107. Rafie, R., Hardy, A., Mohamad Zain, N., Gödeke, S., & Abas, P. E. (2024). The Future of Septic Tanks: Uncovering Technological Trends through Patent Analysis. Inventions, 9(4), 77. Pishgar, R., Morin, D., Young, S. J., Schwartz, J., & Chu, A. (2021). Characterization of domestic wastewater released from ‘green’households and field study of the performance of onsite septic tanks retrofitted into aerobic bioreactors in cold climate. Science of the Total Environment, 755, 142446. Bryant, I. M., & Osei-Marfo, M. (2021). Innovative Designs in Household Biogas Digester in Built Neighbourhoods. Anaerobic Digestion in Built Environments, 107. Ribarova, I., Vasilaki, V., & Katsou, E. (2024). Review of linear and circular approaches to on-site domestic wastewater treatment: Analysis of research achievements, trends and distance to target. Journal of Environmental Management, 367, 121951. Reysset, M. (2021). Comprehensive overview of biogas for sanitation options–training of trainers. Gates Open Res, 5(26), 26. Almansa, X. F., Starostka, R., Raskin, L., Zeeman, G., De Los Reyes III, F., Waechter, J., ... & Radu, T. (2023). Anaerobic Digestion as a Core Technology in Addressing the Global Sanitation Crisis: Challenges and Opportunities. Environmental Science & Technology, 57(48), 19078-19087. Ebong, O., Edet, A., Uwah, A., & Udoetor, N. (2024). Comprehensive Impact Assessment of Intrusion Detection and Mitigation Strategies Using Support Vector Machine Classification. wastewater and black water in rural areas. Research, Society and Development, 10(8), e22910817232-e22910817232. Philippi, L. S., Da Costa, R. H., & Sezerino, P. H. (1999). Domestic effluent treatment through integrated system of septic tank and root zone. Water Science and Technology, 40(3), 125-131. Nasr, F. A., & Mikhaeil, B. (2015). Treatment of domestic wastewater using modified septic tank. Desalination and Water Treatment, 56(8), 2073-2081. Sharma, M. K., Khursheed, A., & Kazmi, A. A. (2014). Modified septic tank-anaerobic filter unit as a two-stage onsite domestic wastewater treatment system. Environmental technology, 35(17), 2183-2193. Singh, R. P., Kun, W., & Fu, D. (2019). Designing process and operational effect of modified septic tank for the pre-treatment of rural domestic sewage. Journal of Environmental Management, 251, 109552. Edet, a., Silas, a., Ekaetor, e., Ebong, o., Isaac, e., & Udoetor, n. (2024). Data-Driven Framework For Classification And Management Of Start-Up Risk For High Investment Returns. Advanced Journal Of Science, Technology And Engineering, 4(2), 81-102. Ghawi, A. H. (2018). Study on the development of household wastewater treatment unit. Journal of Ecological Engineering, 19(2). Adhikari, J. R., & Lohani, S. P. (2019). Design, installation, operation and experimentation of septic tank–UASB wastewater treatment system. Renewable Energy, 143, 1406-1415. Uwah, A., & Edet, A. (2024). Customized Web Application for Addressing Language ModelMisalignment through Reinforcement Learning from HumanFeedback. World Journal of Innovation And Modern Technology, 8(1), 62-71. Lohani, S. P., Bakke, R., & Khanal, S. N. (2015). A septic tank?UASB combined system for domestic wastewater treatment: a pilot test. Water and Environment Journal, 29(4), 558-565. Edet, A., Ekong, B., & Attih, I. (2024). Machine Learning Enabled System for Health Impact Assessment of Soft Drink Consumption Using Ensemble Learning Technique. International Journal Of Computer Science And Mathematical Theory, 10(1), 79-101. Ekong, B., Ekong, O., Silas, A., Edet, A., & William, B. (2023). Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network. Journal of Information Systems and Informatics, 5(4), 1793-1808. https://doi.org/10.51519/journalisi.v5i4.629. Ekong, B., Edet, A., Udonna, U., Uwah, A., and Udoetor, N. (2024). Machine Learning Model For Adverse Drug Reaction Detection Based On Naive Bayes And Xgboost Algorithm. British Journal of Computer, Networking and Information Technology.
