Demand prediction on graphs

Demand prediction on graphs

Nilesh

Nilesh

Rochester, New York

Extending standard deep learning techniques to predict demand on large graphs. We are using transportation networks as our use case.

Artificial Intelligence, Internet of Things

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Description

Using localized spectral filtering and deep learning to predict demand between two nodes as in a graph based on current research which showed promising results for classification problems on a network basis. The next step is to build a node level classifier & that's what we have in mind.

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Edwin M. created project Farm Assist

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Farm Assist

With everything going digital, there’s need for a digital platform that allows farmers to automate their farm activities such that they have visibility of the farm progress anytime anywhere on single click. Coming up with a digital online platform, Farm Assist (FA), an internet application software, will help farmers to solve these problems in a more efficient and less costly way leading to increase in production.

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Tushaar G. updated status

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Tushaar Gangarapu

Hello everyone, I am Tushaar. I am currently pursuing my bachelors at NITK. I developed passion towards AI and Machine Learning, had mentored the same at a mentorship program and currently was working on "Real Time Sensor based Weather Analysis and Prediction using Cloud Analytics to Improve Agricultural Yield". At the moment all we have are basic regression models which actually work with an 80 percent efficiency approximately. The repositories related to both the mentorship program and the regression models can be found on my GitHub account.

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  • Projects 1
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Nilesh

Rochester, NY 14611, USA

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