Self-Attention based encoder-Decoder for multistep human density prediction-Reference-Cited by-同舟云学术

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Self-Attention based encoder-Decoder for multistep human density prediction

Published:2022-12 Issue: Volume:2 Page:100022
ISSN:2667-0917
Container-title:Journal of Urban Mobility
language:en
Short-container-title:Journal of Urban Mobility

Author:

Violos John^ORCID,Theodoropoulos Theodoros,Maroudis Angelos-Christos,Leivadeas Aris,Tserpes Konstantinos^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. An introductory study on time series modeling and forecasting;Adhikari;arXiv:1302.6613 [cs, stat],2013

2. Exploring micromobility services: Characteristics of station-based bike-sharing users and their relationship with dockless services;Arias-Molinares;Journal of Urban Mobility,2021

3. Analyzing Public Transportation Offer wrt Mobility Demand;Arman,2019

4. Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model;Balcan;Journal of Computational Science,2010

5. Human mobility: Models and applications;Barbosa;Physics Reports,2018

Cited by 2 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. Multi-Service Demand Forecasting Using Graph Neural Networks;2023 IEEE International Conference on Service-Oriented System Engineering (SOSE);2023-07

2. Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study;International Journal of Information Management Data Insights;2023-04

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