-
DeFog dataset
The DeFog dataset is a collection of tasks used to evaluate the performance of the DeepFT method. -
DeepFT dataset
The DeepFT dataset is a collection of scheduling decisions and time-series window pairs used to train the DeepFT surrogate model. -
VR Neurosurgery Dataset
The dataset used in this paper is a collection of data related to virtual reality (VR) in neurosurgery, including data on 5G, artificial intelligence (AI), edge computing, and... -
Efficient Privacy Preserving Edge Computing Framework for Image Classification
The proposed framework is for image classification in edge computing systems. It uses autoencoders to extract critical features from the data and then trains a classifier on the... -
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Medical image segmentation on edge devices