COVID-19 Deep Learning Edge Computing Pandemic Review Transfer Learning 1. Introduction The COVID-19 is a disease caused by a novel coronavirus called ‘SARS-CoV-2’. This virus is transferable from human to hu
Deep learning with edge computing: A review Proc. IEEE, 107 (8) (2019), pp. 1655-1674 CrossrefView in ScopusGoogle Scholar [19] Combs T.S., Sandt L.S., Clamann M.P., McDonald N.C. Automated vehicles and pedestrian safety: Exploring the promise and limits of pedestrian detection ...
VI-D Performance Evaluation for Edge DL VII Deep Learning Training at Edge VII-A Distributed Training at Edge VII-B Vanilla Federated Learning at Edge VII-C redCommunication-efficient FL VII-D Resource-optimized FL VII-E redSecurity-enhanced FL VIII Deep Learning for Optimizing Edge VIII-A red...
Deep Learning on Mobile Devices Through Neural Processing Units and Edge Computing. In IEEE INFOCOM 2022-IEEE Conference on Computer Communications (pp. 1209-1218). IEEE. Q1 该paper解决了什么问题? 在训练DNN的过程中,NPU存在处理速度快但有精度损失。原因是:NPU只能支持FP16操作并使用FP16存储每个层的...
Edge deep learning, a paradigm change reconciling edge computing and deep learning, facilitates real-time decision making attuned to environmental factors
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires m
The current development in deep learning is witnessing an exponential transition into automation applications. This automation transition can provide a pro
Deep learning (DL), a subset of artificial intelligence (AI) based on deep neural networks, has made significant breakthroughs in medical imaging, particularly for image classification and pattern recognition. In ophthalmology, applying DL for glaucoma assessment with optical coherence tomography (OCT),...
Chen Jiasi, Ran Xukan Deep learning with edge computing: A review Proc IEEE, 107 (8) (2019), pp. 1655-1674 CrossrefView in ScopusGoogle Scholar [6] Murshed MG. Sarwar, Murphy Christopher, Hou Daqing, Khan Nazar, Ananthanarayanan Ganesh, Hussain Faraz Machine learning at the network edge...
Review article Medical image identification methods: A review 3.2.1 Deep learning Deep learning (DL) [103] is a new research direction in the field of machine learning, which is introduced into machine learning to make it closer to the original goal [104,105]. The inherent rules and represen...