Artificial intelligence (AI) has been increasingly impacting various aspects of our daily lives,
including education. With the rise of digital technologies, higher education has also been …

Federated learning can effectively ensure data security and improve the problem of data
islanding. However, the performance of federated learning-based schemes could be better …

Real-time biomedical signal transmission requires IoTs and cloud infrastructure. In this work,
we investigate feasible lossy compression approaches that leverage the temporal and …

This paper presents a novel web-based crowdsourcing platform for the assessment of the
subjective and objective quality of experience (QoE) of the video service in the cloud-server …

This paper presents critical surveillance system functions and considers advances and
challenges for privacy and ethical implications. We examine privacy-protection strategies …

Remote sensing imagery involves capturing and examining details about the Earth's surface
from a distance, often using satellites, drones, or other aerial platforms. It offers useful data …

In order to realize fast and accurate search of sensitive regions in remote sensing images,
we propose a multi-functional faster RCNN based on multi-scale feature fusion model for …

Object detection in remote sensing images (RSIs) plays a crucial role in aerial and satellite
image analysis. Existing methods lack the capability to effectively detect small and multi …

Recently, convolutional neural networks (CNNs), which obtain powerful deep features in an
end-to-end manner, have achieved powerful performance in remote sensing scene …

Object detection is one of the essential tasks in computer vision, with most detection
methods relying on a limited number of sizes for anchor boxes. However, the boundaries of …