Anomaly detection is crucial in various applications, particularly cybersecurity and network
intrusion. However, a common challenge across anomaly detection techniques is the …

Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …

The adverse glycemic events triggered by the inaccurate insulin infusion in Type I diabetes
(T1D) can lead to fatal complications. Predicting blood glucose concentration (BGC) based …

Wearables such as smart eyewear collects rich, continuous, objective, individual-specific
data, which is difficult to obtain in a clinical setting. By leveraging sophisticated data …

In the human activity recognition (HAR) application domain, the use of deep learning (DL)
algorithms for feature extractions and training purposes delivers significant performance …

Lightweight deep convolutional neural networks (LDCNNs) are vital components of mobile
intelligence, particularly in mobile vision. Although various heavy networks with increasingly …

Intelligent vehicular cyber-physical systems (ICPSs) increase the reliability, efficiency and
adaptability of urban mobility systems. Notably, ICPSs enable autonomous transportation in …

The advent of the fifth-generation mobile communication technology (5G) era has catalyzed
significant advancements in medical diagnosis delivery, primarily driven by the surge in …

Indoor communication and positioning are significant fields of applications for indoor Internet
of Things (IoT) given the rapid growth of IoT in smart cities, smart grids, and smart industries …

This paper presents the design and development of Signed Carry Disregard Multiplier
(SCDM8), a family of signed approximate multipliers tailored for integration into …