The primary goal of this project was to explore the use of deep learning, specifically an autoencoder, for generating pseudo-random data that exhibits similar characteristics to a given training ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

"IEEE.tv is an excellent step by IEEE. This will pave a new way in knowledge-sharing and spreading ideas across the globe." ...

Unsupervised 2D and 3D Convolutional Autoencoders for early detection of Phytophthora cactorum infection in strawberry leaves using hyperspectral imaging. The full thesis and its results can be found ...

Abstract: The use of heart rate monitoring devices has increased significantly, leading to the emergence of a new class of consumer-grade wearable devices designed for continuous heart rate monitoring ...