A LIGHTWEIGHT MULTI-PERSON POSE ESTIMATION SCHEME BASED ON JETSON NANO [PDF]
Applied Computer Science, 2023 As the basic technology of human action recognition, pose estimation is attracting more and more researchers' attention, while edge application scenarios pose a higher challenge.
Lei LIU +2 more
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Edge AI for Climate-Aware ET0 Forecasting and Autonomous Precision Irrigation: A Hardware-Software Co-Design for Autonomous Precision Irrigation [PDF]
E3S Web of ConferencesPrecision agriculture is hindered by its dependence on centralized cloud infrastructures, which prevents deployment of advanced deep learning (DL) in disconnected, resource‑constrained rural environments.
Hodouto Horatio Harley Koffivi +3 more
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AI Workload Allocation Methods for Edge-Cloud Computing: A Review
Al-Iraqia Journal for Scientific Engineering Research, 2023 Edge computing is used with cloud computing as an extension to increase the performance of delay-sensitive applications such as autonomous vehicles, healthcare systems, video surveillance systems, ..etc. The fast increase in the Internet of Things (IoT)
Sarah Ammar Rafea , Ammar Dawood Jasim
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Artificial Intelligence for Edge Service Optimization in Internet of Vehicles: A Survey
Tsinghua Science and Technology, 2022 The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of its powerful capability of collecting real-time information.
Xiaolong Xu +5 more
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Edge AI for Smart Cities: Foundations, Challenges, and Opportunities
Smart CitiesSmart cities seek to improve urban living by embedding advanced technologies into infrastructures, services, and governance. Edge Artificial Intelligence (Edge AI) has emerged as a critical enabler by moving computation and learning closer to data ...
Krishna Sruthi Velaga, Yifan Guo, Wei Yu
doaj +1 more source
Traffic Accident Severity Classification Using ResNet-18 [PDF]
E3S Web of ConferencesThe paper describes a system of automated classification of the severity of traffic accidents based on a fine-tuned ResNet-18 architecture. To meet the requirement of quick emergency reaction in low-resource urban areas, we pre-selected a dataset of ...
Oluwadamilola Oni, Emmanuel Ogbonnia
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A Lightweight Implementation of a Reduced-Depth SqueezeNet CNN on the Versal Platform for Edge Computing Applications [PDF]
پژوهشهای نظری و کاربردی هوش ماشینیIn recent years, deep neural networks have been widely adopted in computer vision applications. However, deploying these networks on portable and edge devices faces serious challenges due to limited computational resources, memory capacity, and power ...
Zahra Ghasemi +3 more
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An Investigation Into the Advancements of Edge-AI Capabilities for Structural Health Monitoring
IEEE AccessThe aim of this study is to investigate the capabilities of edge-AI in the field of structural health monitoring, with a particular emphasis on detecting cracks in concrete bridges.
Anoop Mishra +2 more
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DiReDi: Distillation and Reverse Distillation for AIoT Applications
IEEE Open Journal of the Computer SocietyArtificial Intelligence & Internet of Things (AIoT) have been widely utilized in various application scenarios. Significant efficiency can typically be achieved by deploying different edge-AI models in various real-world scenarios while a few large ...
Chen Sun +3 more
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Edge AI Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics [PDF]
ITM Web of ConferencesBecause of its on-the-go nature, edge AI has gained popularity, allowing for realtime analytics by deploying artificial intelligence models onto edge devices.
Choudhary Sagar +5 more
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