ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction-Reference-Cited by-同舟云学术

ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction

Published:2019 Issue: Volume: Page:222-237
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
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Author:

Assem Haytham^ORCID,Caglayan Bora^ORCID,Buda Teodora Sandra^ORCID,O’Sullivan Declan^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-10997-4_14

Reference39 articles.

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3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);H Assem,2017

4. Assem, H., O’Sullivan, D.: Discovering new socio-demographic regional patterns in cities. In: Proceedings of the 9th ACM SIGSPATIAL Workshop on Location-Based Social Networks, p. 1. ACM (2016)

5. Assem, H., Xu, L., Buda, T.S., O’Sullivan, D.: Spatio-temporal clustering approach for detecting functional regions in cities. In: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 370–377. IEEE (2016)

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