Edge computing has become popular in the last decade and will advance in future to
support real-time actionable analytics at the devices. One of the fundamental problems for …

Today, video cameras are deployed in dense for monitoring physical places eg, city,
industrial, or agricultural sites. In the current systems, each camera node sends its feed to a …

The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility of
wireless sensor networks for environmental traffic sensing across urban areas. In this study …

With the large-scale establishment of cross-camera networks, edge computing plays an
important role in real-time tasks with its abundant edge resources and flexible task …

Cross-camera real-time object tracking is one of the important, yet challenging applications
of video analytics in edge computing environments. To provide accurate and efficient real …

Automatic speech recognition (ASR) meets more informal and free-form input data as voice
user interfaces and conversational agents such as the voice assistants such as Alexa …

The proliferation of high-quality, networked CCTV cameras in public areas has raised the
volume of constantly generated video data significantly in recent years. The need for …

Video cameras are becoming ubiquitous in our daily lives. With the recent advancement of
Artificial Intelligence (AI), live video analytics are enabling various useful services, including …

This paper presents a study on applying on-device machine learning (ML) algorithms to
enhance MAC layer protocols in wireless communications. It focuses on the MU-MIMO …

By enormous growth in IoT and smart devices and the advent of many new applications,
Internet traffic volume has been growing exponentially. Analyzing such flooding traffic …