Zobrazeno 1 - 10
of 21 055
pro vyhledávání: '"Edge device"'
This machine learning study investigates a lowcost edge device integrated with an embedded system having computer vision and resulting in an improved performance in inferencing time and precision of object detection and classification. A primary aim
Externí odkaz:
http://arxiv.org/abs/2410.04173
Deep learning architectures with powerful reasoning capabilities have driven significant advancements in autonomous driving technology. Large language models (LLMs) applied in this field can describe driving scenes and behaviors with a level of accur
Externí odkaz:
http://arxiv.org/abs/2409.20364
Motivated by the proliferation of Internet-of-Thing (IoT) devices and the rapid advances in the field of deep learning, there is a growing interest in pushing deep learning computations, conventionally handled by the cloud, to the edge of the network
Externí odkaz:
http://arxiv.org/abs/2409.15973
Autor:
Jena, Sushovan, Pulkit, Arya, Singh, Kajal, Banerjee, Anoushka, Joshi, Sharad, Ganesh, Ananth, Singh, Dinesh, Bhavsar, Arnav
With the rapid advances in deep learning and smart manufacturing in Industry 4.0, there is an imperative for high-throughput, high-performance, and fully integrated visual inspection systems. Most anomaly detection approaches using defect detection d
Externí odkaz:
http://arxiv.org/abs/2407.02968
The immersive nature of the metaverse presents significant challenges for wireless multi-user interactive virtual reality (VR), such as ultra-low latency, high throughput and intensive computing, which place substantial demands on the wireless bandwi
Externí odkaz:
http://arxiv.org/abs/2407.20523
Continual learning(CL) is a useful technique to acquire dynamic knowledge continually. Although powerful cloud platforms can fully exert the ability of CL,e.g., customized recommendation systems, similar personalized requirements for edge devices are
Externí odkaz:
http://arxiv.org/abs/2407.10545
Edge-device co-inference, which concerns the cooperation between edge devices and an edge server for completing inference tasks over wireless networks, has been a promising technique for enabling various kinds of intelligent services at the network e
Externí odkaz:
http://arxiv.org/abs/2407.00955
The rapid expansion of Location-Based Social Networks (LBSNs) has highlighted the importance of effective next Point-of-Interest (POI) recommendations, which leverage historical check-in data to predict users' next POIs to visit. Traditional centrali
Externí odkaz:
http://arxiv.org/abs/2405.13811
Collaborative security assessment of cloud-edge-device distributed systems based on order parameters
Publikováno v:
网络与信息安全学报, Vol 10, Pp 38-51 (2024)
Distributed computing systems based on cloud-edge-device have been successfully serving thousands of applications and have become mainstream, characterized by a wide audience, high user experience requirements, and high security expectations. However
Externí odkaz:
https://doaj.org/article/16b436b91de9463898692d50a30e66a9
Collaborative security assessment of cloud-edge-device distributed systems based on order parameters
Publikováno v:
网络与信息安全学报, Vol 10, Iss 3, Pp 38-51 (2024)
Distributed computing systems based on cloud-edge-device have been successfully serving thousands of applications and have become mainstream, characterized by a wide audience, high user experience requirements, and high security expectations. However
Externí odkaz:
https://doaj.org/article/769dda6cf8ce4a3282921393c177dcbc