5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …

Machine Learning as a Service (MLaaS) operators provide model training and prediction on
the cloud. MLaaS applications often rely on centralised collection and aggregation of user …

Presently, the use of a credit card has become an integral part of contemporary banking and
financial system. Predicting potential credit card defaulters or debtors is a crucial business …

Abstract Machine learning (ML) has become increasingly useful in health care,
demonstrating effectiveness in a wide range of tasks such as diagnosing conditions and …

In this paper, we propose Device Authentication Code (DAC), a novel method for
authenticating IoT devices with wireless interface by exploiting their radio frequency (RF) …

The ability to detect the mobile user's location with high precision in indoor networks is
particularly difficult due to the environmental characteristics and high dynamics of the indoor …

Autoencoder is recently one of the widely used machine learning approaches where the
network is trained to learn the data representation. This paper considers Autoencoder for …

In today's banking and financial system, using a credit card has become indispensable. The
credit card industry has existed due to a shift in consumer preferences and a rise in national …

We propose a cloud-based filter trained to block third parties from uploading privacy-
sensitive images of others to online social media. The proposed filter uses Distributed One …

Multiple access techniques present many challenges and opportunities for the design of
massive wireless networks. Therefore, substantial research efforts were devoted to the …