Archives
Smart Grid Short Term Load Forecasting with RNNs
The use of renewable energy sources, presented as viable substitutes to fossil fuels, is on the rise. However, the inherent variability and uncertainty in generating green energy presents challenges fossil fuels, which can be burned on demand, do not have. With the increased use of renewables, new methods to forecast energy demand will be paramount […]
Audio-Assisted Lip-Reading System Using LSTM Artificial Neural Network
The deaf and hearing impaired (10 million people in the US) have a difficult time immersing in live speaking events in real-time. Although this population is 4 times the size of those in wheelchairs, American Sign Language (ASL) or in some cases just written notes are required as accommodations. However, only a fraction of the […]
Interpretable Personal Loan Default Predictions
Increasingly, stakeholders, customers, and regulators of financial institutions are demanding that decisions about financial products such as personal loans are not left entirely to machine learning. The effect of bias and unknowns is simply unacceptable when it can unfairly affect the livelihood of real people. Thus training models that are interpretable is paramount. With interpretable […]
Estimating Driver Drowsiness & Distraction with Deep Learning & Computer Vision
There were nearly 37,500 traffic accident fatalities in 2016 in the US., with distraction and fatigue responsible for 10% and 3% of avoidable fatalities. Two seconds of driver distraction is all it takes to double the probability of a collision. Several car companies are attempting to tackle this issue, but their methods are proprietary and […]