EMP-GAN: Encoder-Decoder Generative Adversarial Network for Mobility Prediction

Bang, Sammy Yap Xiang; Raza, Syed M.; Yang, Huigyu; Choo, Hyunseung

doi:10.1109/infocomwkshps57453.2023.10226163

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) 2023

DOI: 10.1109/infocomwkshps57453.2023.10226163

|View full text |Cite

EMP-GAN: Encoder-Decoder Generative Adversarial Network for Mobility Prediction

Sammy Yap Xiang Bang,

Syed M. Raza,

Huigyu Yang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Data Augmentation Framework for Improving Image Recognition Using cycleGAN

Kim,

Deribe,

Byun

et al. 2024

2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)

View full text Add to dashboard Cite

Data Augmentation Framework for Improving Image Recognition Using cycleGAN

Kim,

Deribe,

Byun

et al. 2024

2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)

View full text Add to dashboard Cite

Deep Predictive User Path-Inclusive Service Mobility in B5G/6G Edge Clouds

Mwasinga,

Raza,

et al. 2024

2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)

View full text Add to dashboard Cite

Movement Attentive Graph Embedding for Improving Next Point of Access Prediction

Kang,

Kim,

Yang

et al. 2024

2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

EMP-GAN: Encoder-Decoder Generative Adversarial Network for Mobility Prediction

Cited by 3 publications

References 15 publications

Data Augmentation Framework for Improving Image Recognition Using cycleGAN

Data Augmentation Framework for Improving Image Recognition Using cycleGAN

Deep Predictive User Path-Inclusive Service Mobility in B5G/6G Edge Clouds

Movement Attentive Graph Embedding for Improving Next Point of Access Prediction

Contact Info

Product

Resources

About