How to Conduct Time-series Forecasting on Real-world Data
Introduction In a variety of real-world problems, the objective is to model and predict the future based on past data. In
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Predictive Analytics for Smart Water Management in Developing Regions
Introduction Water availability and management is an important problem plaguing many developing and under-developed countries. Many factors including geographic, political,
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DeepFit: Deep Learning Based Fitness Center Equipment Use Prediction
Introduction According to the US department of Health and Human Services, “Physical activity, along with proper nutrition, is beneficial to
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Understanding the Societal Impact of COVID-19 during its Early Days
Introduction COVID-19 (also known as the novel coronavirus) is a global pandemic and has affected humans in all countries of
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DeepChannel: Deep Learning based Wireless Channel Prediction
Introduction Accurately modeling and predicting wireless channel quality variations is essential for a number of networking applications such as scheduling
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A simple mathematical explanation on how to slow the spread and end the pandemic
Introduction COVID-19 is highly contagious and it spreads from an infected individual to a healthy person easily. Let us keep in
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NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields (GCRFs)
Introduction Cities have limited resources that must be used efficiently to maintain their smooth operation. To ensure smooth operation of
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