Efficient Pipeline Collaborative DNN Inference in Resource-Constrained UAV Swarm
Recent advancements in unmanned aerial vehicle (UAV) technology have propelled the
popularity of edge intelligence (EI) applications with deep learning in UAV swarm …
popularity of edge intelligence (EI) applications with deep learning in UAV swarm …
Research on the improved gesture tracking algorithm in sign language synthesis
R Lu, Q Song - The Journal of Supercomputing, 2023 - Springer
Sign language synthesis technology is a bridge of communication between deaf and non-
deaf people, and has important social value. Sign language recognition is the key to sign …
deaf people, and has important social value. Sign language recognition is the key to sign …
工业互联网智能调度建模与方法研究综述
工业互联网的建设关键在于云端和边缘端资源协同互补地对工业现场进行全面感知与连接.
复杂制造过程的运行效率依赖于云端—边缘端—工业终端的多主体资源的联动控制 …
复杂制造过程的运行效率依赖于云端—边缘端—工业终端的多主体资源的联动控制 …
Joint DNN Partitioning and Resource Allocation for Multiple Machine Learning-based Mobile Applications at the Network Edge
As a core technique of machine learning, deep neural networks (DNNs) have been
extensively used in today's mobile applications. However, users' mobile devices (MDs) have …
extensively used in today's mobile applications. However, users' mobile devices (MDs) have …
USING DEEP LEARNING AND VIRTUAL REALITY TO BUILD AN ANIMATION GAME FOR THE HEALTHCARE EDUCATION.
H Wu, H Tu - Journal of Mechanics in Medicine & Biology, 2023 - search.ebscohost.com
This study aimed to create new experiences for the healthcare environment using virtual
reality (VR) animation game technology by reviewing the advantages and disadvantages of …
reality (VR) animation game technology by reviewing the advantages and disadvantages of …
[PDF][PDF] Multi-Agent Deep Reinforcement Learning for Efficient Computation Offloading in Mobile Edge Computing.
T Jiao, X Feng, C Guo, D Wang… - Computers, Materials & …, 2023 - cdn.techscience.cn
Mobile-edge computing (MEC) is a promising technology for the fifth-generation (5G) and
sixth-generation (6G) architectures, which provides resourceful computing capabilities for …
sixth-generation (6G) architectures, which provides resourceful computing capabilities for …
[PDF][PDF] Traffic-Aware Fuzzy Classification Model to Perform IoT Data Traffic Sourcing with the Edge Computing.
H Xu - Computers, Materials & Continua, 2024 - cdn.techscience.cn
ABSTRACT The Internet of Things (IoT) has revolutionized how we interact with and gather
data from our surrounding environment. IoT devices with various sensors and actuators …
data from our surrounding environment. IoT devices with various sensors and actuators …
Optimization of network resource management based on software-defined networking in the 5G environment
G Wu, D Zeng - The Journal of Supercomputing, 2022 - Springer
The rapid development of mobile communication technology has led to the concept of the
fifth generation mobile communication network (5G). In order to meet the complex and …
fifth generation mobile communication network (5G). In order to meet the complex and …
Partitioning Deep Neural Networks for Optimally Pipelined Inference on Heterogeneous IoT Devices with Low Latency Networks
W Seo, S Kim, S Hong - 2024 IEEE 44th International …, 2024 - ieeexplore.ieee.org
Pipeline parallelization is an effective technique that enables the efficient execution of deep
neural network (DNN) inference on resource-constrained IoT devices. To support pipeline …
neural network (DNN) inference on resource-constrained IoT devices. To support pipeline …
Application massive data processing platform for smart manufacturing based on optimization of data storage
B Ren, Y Chen, F Wang - ACM Transactions on Management …, 2023 - dl.acm.org
The aim of smart manufacturing is to reduce manpower requirements of the production line
by applying technology of huge amounts of data to the manufacturing industry. Smart …
by applying technology of huge amounts of data to the manufacturing industry. Smart …