Recently, there has been a substantial interest in on-device Machine Learning (ML) models
to provide intelligence for the Internet of Things (IoT) applications such as image …

Deployment of distributed machine learning at the edge is conducive to reducing latency
and protecting privacy associated with transmitting data back to the cloud. Nonetheless, as …

Object detection is a widely applied approach in addressing many real-world computer
vision challenges. Despite its importance, object detection is computationally intensive and …

With the rapid development of artificial intelligence and Unmanned Aerial Vehicle (UAV)
technology, AI-based UAVs are increasingly utilized in various industrial and civilian …

Deep learning-based object detection models have become a preferred choice for crop
detection tasks in crop monitoring activities due to their high accuracy and generalization …

The amount of residential customers participating in grid demand-side response has been
rising in recent years as new power systems have been developed. The secret to home …