Small, Accurate, and Fast Re-ID on the Edge: The SAFR Approach

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	EDGE (4. : 2020 : Online) Edge computing - EDGE 2020
1. Verfasser:	Suprem, Abhijit (VerfasserIn)
Weitere Verfasser:	Pu, Calton (VerfasserIn), Ferreira, Joao Eduardo (VerfasserIn)
Pages:	2020
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2020
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications	2020	Shalaginov, Andrii
A Microservice-Based Industrial Control System Architecture Using Cloud and MEC	2020	Kaneko, Yu
Edge Architecture for Dynamic Data Stream Analysis and Manipulation	2020	Goldstein, Orpaz
fogcached: DRAM-NVM Hybrid Memory-Based KVS Server for Edge Computing	2020	Ozawa, Kouki
Study on the Digital Imaging Process to Improve the Resolution of Historical Artifacts Photos	2020	Kim, Siwoo
Edge Storage Solution Based on Computational Object Storage	2020	Zhong, Lijuan
Survey of Edge Computing Based on a Generalized Framework and Some Recommendation	2020	Sun, Yiwen
Godec: An Open-Source Data Processing Framework for Deploying ML Data Flows in Edge-Computing Environments	2020	Meermeier, Ralf
Small, Accurate, and Fast Re-ID on the Edge: The SAFR Approach	2020	Suprem, Abhijit
Preserving Patients’ Privacy in Medical IoT Using Blockchain	2020	Alamri, Bandar