The number of satellites, especially those operating in low-earth orbit (LEO), is exploding in
recent years. Additionally, the use of COTS hardware into those satellites enables a new …

Abstract Conversational Agents (CAs) have made their way to providing interactive
assistance to users. However, the current dialogue modelling techniques for CAs are …

Federated learning (FL) is a collaborative machine learning paradigm where network-edge
clients train a global model under the orchestration of a central server. Unlike traditional …

The number of satellites, especially those operating in Low-Earth Orbit (LEO), has been
exploding in recent years. Additionally, the burgeoning development of Artificial Intelligence …

There are contexts where TCP/IP is not suitable for performing data transmission due to long
delays, timeouts, network partitioning, and interruptions. In these scenarios, mobile …

The current food safety testing system, based on laboratory-based quantification, is difficult
to scale up in line with the growth in the export market and does not enable traceability …

Abstract The Firefly Forest algorithm is a novel bio-inspired clustering method designed to
address key challenges in traditional clustering techniques, such as the need to set a fixed …

This paper introduces the Systematic mAlware detection in android (STAR) technique
designed to enhance accuracy in identifying and classifying Android malware, addressing …

Data mining has become an essential tool in various domains, including healthcare, for
finding patterns and relationships in large datasets to solve business issues. However, given …

The internet's rapid expansion has generated abundant text data, posing a formidable
challenge in extracting key information, where document clustering demonstrates its …