Machine learning in computer vision has become an invaluable aspect of research on object detection and object tracking. While advancements in current research aim to improve the matching of predictions with ground truth ...

The ease with which our brains learn to control our bodies belies intricate neural processing which remains poorly understood. We know that a network of brain regions work together in a carefully coordinated fashion to ...

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 ...

Background: Breast cancer is a complex disease, both phenotypically and etiologically. Accordingly, the responses to various treatments in the adjuvant setting among individuals vary considerably. There is a demand for ...

As our reliance on the Internet continues to grow, the need for secure, reliable networks also increases. Using a modified genetic algorithm and a switch-based neural network model, this thesis outlines the creation of a ...

Mining Software Repositories, which is the process of analyzing the data related to software development practices, is an emerging field which aims to aid development teams in their day to day tasks. However, data in many ...

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. ...

Image-guided Interventions (IGI) have revolutionized medical practice and improved the quality of life for patients by enabling less invasive surgeries and treatments. Recent advancements in computing power and learning ...

Applications of deep learning using text have shown wide success in detecting human emotions, analyzing social media feeds, classifying text and creating compressed representations. While deep learning has been widely ...

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 ...