How relevant is machine learning in your field of study, as descriptive and inferential statistics are widely used to provide research outcome? Which advanced machine learning technique have you recently used to approach a research hurdle, and how effective was it?
ML has been used in many fields and one of it is managing waste treatments. Many researchers have look into proper ways for handling waste to serve our world. One of the area is wastewater. You may read further this paper for some input
Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse.
Article Application of artificial intelligence to wastewater treatme...
machine learning techniques have widely been used for various applications. I think this is a subjective question as how can one adopt machine learning for a specific problem, such as waste water treatment. I quick search on googlescholar showed several examples, which need further research on how can we use i t for the specified problem.
In my experience I apply the DL with different architecture, for example Transfer Learning by Vgg, Resnet ....etc. and NN, CNN, RNN..etc.
I conclude when you using the Artificial Neural Networks, its do it better in accuracy and lower loss.
I hope that be Clair for you.@Mahomet Njoya
Thanks for the feedback guys! My interest predominantly lies in the application of advanced ML models in the field of the wastewater anaerobic digestion and/or treatment in general. What difficult research challenge did you encounter in your research, which was only solved by having recourse to ML?
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