Systems for object detection and tracking are becoming increasingly important in practical
applications today. Many research and development groups are interested in improving the …

Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …

AI accelerator is a specialized hardware processing unit that provides high throughput,
lower latency, and higher energy efficiency compared to existing server-based processors …

To support artificial intelligence (AI)‐involved tasks offloaded from the mobile devices (MDs),
it is necessary to equip the Unmanned Aerial Vehicle (UAV) with custom‐made co …

Multi-sensor information fusion (MSIF) technology based on deep convolutional neural
networks (CNN) has been widely used in UAV obstacle avoidance. However, detection …

Object detection algorithms are widely used but involve significant amounts of computations,
posing challenges for adaptation to resource-constrained application scenarios, such as …

The objective of our study was to explore the feasibility of integrating artificial intelligence
(AI) algorithms for breast cancer detection into a portable, point-of-care ultrasound device …

Unmanned Aerial Vehicles (UAVs) are quickly becoming a very important component in
many applications, such as search and rescue. In many of these applications, Deep Neural …

أصبحت أنظمة الكشف عن الأشياء وتتبعها ذات أهمية متزايدة في التطبيقات العملية في الوقت
الحاضر, أدى ذلك إلى اهتمام العديد من المجاميع البحثية من أجل تطوير وتحسين أداء مثل هذه الأنظمة …‎

This dissertation explores the use of event cameras for collision detection in unmanned
aerial vehicles (UAVs). Traditional cameras have been widely used in UAVs for obstacle …