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Advanced Machine Learning Model for Predicting Chlorine Levels - Vimarsana News

Advanced Machine Learning Model for Predicting Chlorine Levels

The journal Frontiers of Environmental Science & Engineering released an article on September 28th, 2023, which details how Georgia Institute of Technology researchers created a novel machine learning (ML) model to enhance Free Chlorine Residual (FCR) level forecasting.

"A novel strategy based on machine learning of selective cooling contro" by Pengfei Wang, Jinkun Deng et al. - Vimarsana News

"A novel strategy based on machine learning of selective cooling contro" by Pengfei Wang, Jinkun Deng et al.

Precise selective cooling control of work roll can significantly improve the cold rolled strip flatness in steel manufacturing industry. To improve the control accuracy of the coolant output of selective work roll cooling control system, a machine learning (ML) algorithm with differential evolution-gray wolf algorithm optimization support vector machine regression (DE-GWO-SVR) model has been proposed for the first time in this study. This model combines the differential evolution (DE) with grey wolf optimization algorithm (GWO) to improve the optimization performance of the algorithm. Then, th...

Source: uow.edu.au
CNN Fareed Zakaria GPS June 4, 2024 14:59:00 - Vimarsana News

CNN Fareed Zakaria GPS June 4, 2024 14:59:00

Picasso, the blue period. how come -- it feels like it's all abstraction. >> it does sometimes get very photographic. so if you watch, you will see moments where it literally looks like a photographic landscape or an architectural drawing or a face may emerge. you'll notice different modes and rafik i think has carefully choreographed and composed them. but these different modes are special because with generative a.i., it's working very, very hard in concert with the machine learning model to create the shapes that you see. you might just get noise if you were to yourself say here's a

BBCNEWS BBC News June 4, 2024 16:23:00 - Vimarsana News

BBCNEWS BBC News June 4, 2024 16:23:00

At, you looked into all of this, what were they measuring? there are several things. the obvious thing is what you previously watched and what other people who watched those things, what else they have watched. it makes sense that is how they would recommend things but it goes much deeper than that. there is also behavioural information, what you click on, what trailers you click on, whether you pause half way through, whether you pause and then continue, whether you pause and then leave it. what device and time of day, what you search. there are all these tiny... they know when you get up and...

BBCNEWS BBC News June 4, 2024 15:24:00 - Vimarsana News

BBCNEWS BBC News June 4, 2024 15:24:00

But when you have millions of people using various different platforms, notjust netflix, binge watching things, it really is a lot of data. that machine learning model can then use to draw patterns, patterns that maybe we wouldn't understand but the machine can see that. and then it recommends you things. when you are having this period of self—discovery or whatever it is, we don't really know who we are in our teens, do you think that at any point, did that recommendations help you think about those things more? i think ijust... i was watching several other things, that wasn't the only thin...