This paper aims to provide a comprehensive review of the current state of the art at the intersection of deep learning and edge computing. Specifically, it will provide an overview of applications where deep learning is used at the network edge, discuss various approaches for quickly executing ...
At the same time, because it is deployed in an edge computing environment, network performance can be optimized and user privacy can be protected. This review discusses the application of deep learning on the Internet of things(IOT) in the environment of edge computing, compares the results of...
Retinal Lesion Detection With Deep Learning Using Image Patches 使用CNN网络在图像块上进行5分类(正常图像、微动脉瘤、出血斑点印迹、渗出物或棉絮斑、血管化,静脉串珠,瘢痕等高风险病变)任务,论文作者邀请了两位眼科医生对Kaggle数据集的一个包含243张图片的子集进行了验证和重新标注。论文证明了对图像patch的方法能...
各位老师打扰了,由电子科大万少华老师和河海大学巫义锐老师共同组织的专刊“Deep Learning and Edge Computing for Internet of Things”已经在Applied Sciences-Basel(中科院3区,SCI,IF:2.838)上线。专刊关注人工智能与边缘计算结合后的理论,技术与应用研究。欢迎各位老师同学不吝赐稿。论文截止日期:2023年2月20日。专刊网...
2. Deep learning architectures 3. Applications of deep learning in medical US analysis 4. Future challenges and perspectives Acknowledgements Compliance with ethics guidelines Appendix A. Supplementary data Research Data ReferencesShow full outline Cited by (550) Figures (5) Extras (2) Download all ...
In the context of edge computing (EC) paradigm the new type of specific System on a Chip (SoC) devices with tensor processing architectures (TPAs) appeared for running deep learning (DL) models efficiently on edge computing accelerators (ECAs). Despite availability of numerous benchmarks of ECA...
为了倡导基于深度学习的视频编码研究,本文对我们开发的视频编解码器即深度学习视频编码(Deep Learning Video Coding,DLVC)进行了案例研究。DLVC具有两个深度工具,分别为基于CNN的环路滤波器(CNN-based in-loop filter,CNN-ILF)以及基于CNN的块自适应分辨率编码(CNN-based block adaptive resolution coding,CNN-BARC)。
A comprehensive literature review was performed in order to identify a broad range of deep learning methods for addressing class imbalance. We have documented the specific details of the literature search process so that other scholars may more confidently use this survey in future research, an essen...
共享资源的任务卸载问题的一种潜在解决方案是multi-agent reinforcement learning。 MEC 中的每个 UE 都将被视为一个单独的代理,并通过与其他代理协作来学习自己的策略以实现共同目标(例如,为所有相关的 UE 实现最大的总 QoS)。
Scope of machine learning in materials research—A review Md HosneMobarak, ...Md Israfil HossainRimon, inApplied Surface Science Advances, 2023 Deep learning Deep learningconsists of interconnected classifiers built on linear regression and a few activation functions [70]. Shallow learning anddeep lear...