Millions of sensors continuously produce and transmit data to control real-world
infrastructures using complex networks in the Internet of Things (IoT). However, IoT devices …

In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …

Privacy-preserving clustering has received increasing research attention in recent years.
Local differential privacy (LDP) is a privacy model without relying on trusted third parties. It …

Behavior recognition is a well-known computer vision mobile technology. It has been used
in many applications such as video surveillance, motion detection on devices, human …

Smart cities could be defined as urban areas that use Information and Communication
Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware …

Ubiquitous sustainable computing systems are deployed for providing complex application
services and processing for real-time applications. Data exchange and sharing are …

Under the need of processing huge amounts of data, providing high-quality service, and
protecting user privacy in Artificial Intelligence of Things (AIoT), Federated Learning (FL) has …

Ubiquitous computing, integrating technology seamlessly into daily life, holds immense
potential for Malaysia's digital transformation. This paper explores the ethical, privacy, and …

The study proposes a new algorithm combining a gradient boosting tree algorithm with a
hybrid convolutional neural network in order to design a better human resource …

Local differential privacy has been considered the standard measurement for privacy
preservation in distributed data collection. Corresponding mechanisms have been designed …