Federated Ensemble-Learning for Transport Mode Detection in Vehicular Edge Network-Reference-Cited by-同舟云学术

Federated Ensemble-Learning for Transport Mode Detection in Vehicular Edge Network

Published:2023-12 Issue: Volume:149 Page:89-104
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Alam Md. Mustakin,Ahmed Tanjim,Hossain Meraz,Emo Mehedi Hasan,Bidhan Md. Kausar Islam,Reza Md. Tanzim,Alam Md. Golam Rabiul,Hassan Mohammad Mehedi^ORCID,Pupo Francesco,Fortino Giancarlo

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference42 articles.

1. Applying mobile phone data to travel behaviour research: A literature review;Wang;Travel Behav. Soc.,2018

2. You are how you travel: A multi-task learning framework for geodemographic inference using transit smart card data;Zhang;Comput. Environ. Urban Syst.,2020

3. Rod-revenue: Seeking strategies analysis and revenue prediction in ride-on-demand service using multi-source urban data;Guo;IEEE Trans. Mob. Comput.,2019

4. C. Meng, X. Yi, L. Su, J. Gao, Y. Zheng, City-wide traffic volume inference with loop detector data and taxi trajectories, in: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017, pp. 1–10.

5. Inferring fine-grained transport modes from mobile phone cellular signaling data;Chin;Comput. Environ. Urban Syst.,2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VESBELT: An energy-efficient and low-latency aware task offloading in Maritime Internet-of-Things networks using ensemble neural networks;Future Generation Computer Systems;2024-12

2. kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud–edge environments;Future Generation Computer Systems;2024-08

3. Deep Q Network Based on a Fractional Political–Smart Flower Optimization Algorithm for Real-World Object Recognition in Federated Learning;Applied Sciences;2023-12-15

4. A Deep Reinforcement Learning Strategy for Intelligent Transportation Systems;Internet of Things;2023-08-10