Search
Now showing items 1-9 of 9
Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks
The promising energy saving and quality of service (QoS) gains of Predictive Resource Allocation (PRA) for video streaming have recently been recognized in the wireless network research community. The PRA relies on future ...
Self-supervised ECG Representation Learning for Affective Computing
This work investigates the use of self-supervised learning for ECG-based affective computing. We propose a novel self-supervised ECG representation learning framework to address the limitations of fully-supervised learning. ...
Analysis of the Utilization of Mobile Network Base Stations Using Traffic Load Predictions
Every day, mobile network traffic is increasing in an unprecedented manner all over the world, resulting in growing demand from the network operators to deploy more base stations in order to be able to serve more devices ...
DeepSkin: Mobile-based Skin Quality Assessment with Deep Learning
We present a novel skin quality assessment system with the goal of improving skin care. This system leverages digital dermoscopy and consists of hardware, software, and a machine learning component to automate the process ...
A Reinforcement Learning Approach to Predictive Control Design: Autonomous Vehicle Applications
This research investigates the use of learning techniques to select control parameters in the Model Predictive Control (MPC) of autonomous vehicles. The general problem of having a vehicle track a target while adhering to ...
Advanced Motion Mode Recognition for Portable Navigation
(2015-03-24)
Portable navigation is increasingly becoming an essential part of our lives. Knowing a person’s position and velocity using a portable device, such as a smartphone, tablet, smartwatch, or smartglasses, has become a basic ...
Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces
(2009-09-01)
We formulate Local Shape Descriptor selection for model-based object recognition in range data as an optimization problem and offer a platform that facilitates a solution. The goal of object recognition is to identify and ...
Unsupervised Multi-Modal Representation Learning using Convolutional Autoencoders for Affective Computing with Wearable Data
With recent developments in smart technologies, there has been a growing focus on the use of artificial intelligence and machine learning for affective computing to further enhance the user experience through emotion ...
Robust Multisensor-based Framework for Efficient Road Information Services
Next-generation intelligent transportation systems of future road traffic monitoring will be required to provide reports of road conditions. Monitoring road surface conditions benefits drivers and the community. Road surface ...