Jun 11, 2019 · In this work, we present a data-driven centralized approach to resource-efficient, QoS-aware dynamic management of this http URL propose a Deep ...

In this work, we present a data-driven centralized approach to resource-efficient, QoS-aware dynamic management of FC.

Different from existing results, our approach applies to arbitrary mobility scenarios and spatio-temporal patterns of vehicle density distributions, by ...

A data-driven centralized approach to resource-efficient, QoS-aware dynamic management of Floating Content is presented, which employs a Convolutional ...

In this work, we present a data-driven centralized approach to resource-efficient, QoS-aware dynamic management of FC. ... Numerical evaluations show the ...

Jun 11, 2019 · In this work, we present a data-driven centralized approach to resource-efficient, QoS-aware dynamic management of FC.We propose a Deep Learning ...

Dec 5, 2022 · DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content ; UniBE Contributor: Braun, Torsten ; Subjects: 000 Computer ...

We propose a Deep Learning strategy, which employs a Con-volutional Neural Network (CNN) to capture the relationshipsbetween patterns of users mobility, of ...

Bibliographic details on DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content.

Article "DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content" Detailed information of the J-GLOBAL is an information service ...