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Forecasting Bitcoin Prices Using N-Beats Deep Learning Architecture, Alikhan Bulatov
Forecasting Bitcoin Prices Using N-Beats Deep Learning Architecture, Alikhan Bulatov
Student Theses
The use of computationally intensive systems that employ machine learning algorithms is increasingly common in the field of finance. New state of the art deep learning architectures for time series forecasting are being developed each year making them more accurate than ever. This study evaluates the predictive power of the N-BEATS deep learning architecture trained on Bitcoin daily, hourly, and up-to-the-minute data in comparison with other popular time series forecasting methods such as LSTM and ARIMA. Prediction errors are measured with Mean Average Percentage Error (MAPE), and Root Mean Squared Error (RMSE). The results suggest that the developed N-BEATS model …
Deep Learning Application On American Sign Language Database For Video-Based Gesture Recognition, Muhammad Murtaza Saleem
Deep Learning Application On American Sign Language Database For Video-Based Gesture Recognition, Muhammad Murtaza Saleem
Student Theses
ASL speaking individuals always bring a companion as a translator [1]. This creates barriers for those who wish to take part in activities alone. Online translators exist however, they are limited to the individual characters instead of the gestures which group characters in a meaningful way, and connectivity is not always accessible. Thus, this research tackles the limitations of existing technologies and presents a model, implemented in MATLAB 2020b, to be used for predicting and classifying American sign language gestures/characters. The proposed method looks further into current neural networks and how they can be utilized against our transformed World Largest …