This study proposes an ultra-low-power processing approach for early seizure detection using
electroencephalogram (EEG) signal processing. Traditional methods of EEG processing …

With the increase in the use of unmanned aerial vehicles (UAVs)/drones, it is important to
detect and identify causes of failure in real time for proper recovery from a potential crash-like …

In this article, we introduce a groundbreaking approach for ultra-low-power hybrid analog-digital
processing of multimodal physiological data at multiple locations, emphasizing EEG …

Traditional methods for coding underwater acoustic communications are bound to be
surpassed by methods optimizing for source-channel coding jointly. However, the complexity of …

Wearable sensors are increasingly used for continuous health monitoring, but their small size
limits battery capacity, affecting user experience and monitoring capabilities. To overcome …

Recently, the trend of analyzing physiological mark-ers for health tracking using wearable
sensors is on the rise. However, due to the small size of these wearables, battery-life is of …

In recent years, the architecture based on Resistive Processing Unit (RPU) has become a
hot topic due to its potential to accelerate training of a Neural Network (NN). However, …

This paper introduces a novel, lightweight, on-board approach to crowd pattern identification,
ingeniously using the processes of existing video compression standards, particularly H.…

With the rapid growth of the use of Machine Learning (ML) techniques in Unmanned Aerial
Vehicles (UAVs), there is an opportunity to use ML techniques to detect and prevent …

… Tanvir Anjum & Dilawar Hussain … Aslam also participated in the Civil Disobedience
Movement against the Unionist-backed Chief Minister of the Punjab, Malik Khizr Hayat Tiwana (b. …