Application of machine learning algorithms and feature selection methods for better prediction of sludge production in a real advanced biological wastewater treatment plant
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering
Reference42 articles.
1. New water-based flexographic ink based on new ter-polymer nano-particles as eco-friendly binders – Part II;Abd El-Wahab;Pigment Resin Technol.,2020
2. Traditional machine learning algorithms for breast cancer image classification with optimized deep features;Atban;Biomed. Signal Process Control,2023
3. A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases;Ay;J. Supercomput.,2023
4. Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI;Ba-Alawi;J. Water Process Eng.,2023
5. Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance;Bagherzadeh;J. Water Process Eng.,2021
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