Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …
benefits for human society. Governments and enterprises are deploying innumerable …
Fair: Towards impartial resource allocation for intelligent vehicles with automotive edge computing
H Wang, J **e, MMA Muslam - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The emerging vehicular connected applications, such as cooperative automated driving and
intersection collision warning, show great potentials to improve the driving safety, where …
intersection collision warning, show great potentials to improve the driving safety, where …
Learning-driven algorithms for responsive AR offloading with non-deterministic rewards in metaverse-enabled MEC
In the coming era of Metaverse, Augmented Reality (AR) has become a key enabler of
diverse applications including healthcare, education, smart cities, and entertainments. To …
diverse applications including healthcare, education, smart cities, and entertainments. To …
Unveiling energy efficiency in deep learning: Measurement, prediction, and scoring across edge devices
X Tu, A Mallik, D Chen, K Han, O Altintas… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
Today, deep learning optimization is primarily driven by research focused on achieving high
inference accuracy and reducing latency. However, the energy efficiency aspect is often …
inference accuracy and reducing latency. However, the energy efficiency aspect is often …
A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks
A Mallik, J **e, Z Ran - 2024 IEEE 44th International …, 2024 - ieeexplore.ieee.org
Extended reality (XR) is at the center of attraction in the research community due to the
emergence of augmented, mixed, and virtual reality applications. The performance of such …
emergence of augmented, mixed, and virtual reality applications. The performance of such …
Edge Deployment of Deep Networks for Visual Object Detection: A Review
HZ Zhai, JW Du, YH Ai, TJ Hu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
With the development of artificial intelligence, there is an increasing demand for edged
computing visual sensors, particularly those integrated with visual object detection …
computing visual sensors, particularly those integrated with visual object detection …
Ambient intelligence for next-generation AR
T Scargill, S Eom, Y Chen, M Gorlatova - arxiv preprint arxiv:2303.12968, 2023 - arxiv.org
Next-generation augmented reality (AR) promises a high degree of context-awareness-a
detailed knowledge of the environmental, user, social and system conditions in which an AR …
detailed knowledge of the environmental, user, social and system conditions in which an AR …
EPAM: A predictive energy model for mobile AI
Artificial intelligence (AI) has enabled a new paradigm of smart applications-changing our
way of living entirely. Many of these AI-enabled applications have very stringent latency …
way of living entirely. Many of these AI-enabled applications have very stringent latency …
Content-Aware Joint Knob Configuration and Resource Allocation for Edge Video Analytics
T Bai, B Hou, Z Wang, D Liu… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Characterized by its ease of low-latency response, edge computing is capable of supporting
real-time video analytics applications, constituting an edge video analytics paradigm, where …
real-time video analytics applications, constituting an edge video analytics paradigm, where …
HarvAR: Mobile Augmented Reality-assisted Photovoltaic Energy Harvesting Sensor Management
The capability of energy harvesting application powered by indoor photovoltaic energy is
severely affected by dynamic light environments. Accordingly, accurate understanding of the …
severely affected by dynamic light environments. Accordingly, accurate understanding of the …