Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
1711.02413
Cited By

ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a
Generative Adversarial Neural Network

ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network

7 November 2017

ArXiv (abs)PDF HTML

Papers citing "ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network"

9 / 9 papers shown

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series
Anomaly Detection

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly DetectionProceedings of the VLDB Endowment (PVLDB), 2023

Saravan Rajmohan

297

105

0

03 Jul 2023

Deep Neural Mobile Networking

Deep Neural Mobile Networking

242

2

0

23 Oct 2020

Mobile Traffic Classification through Physical Channel Fingerprinting: a
Deep Learning Approach

Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning ApproachIEEE Transactions on Network and Service Management (TNSM), 2019

Ángel Fernández Gambín

263

36

0

25 Oct 2019

Deep Learning at the Edge

Deep Learning at the Edge

Jason G. Wallace

374

47

0

22 Oct 2019

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud
Stream Forecasting

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2019

206

37

0

29 Jul 2019

Multi-hop Federated Private Data Augmentation with Sample Compression

Multi-hop Federated Private Data Augmentation with Sample Compression

265

18

0

15 Jul 2019

Multi-Service Mobile Traffic Forecasting via Convolutional Long
Short-Term Memories

Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term MemoriesIEEE International Workshop on Measurement and Networking (MN), 2019

193

34

0

23 May 2019

Flow-based Network Traffic Generation using Generative Adversarial
Networks

Flow-based Network Traffic Generation using Generative Adversarial NetworksComputers & security (Comput. Secur.), 2018

179

205

0

27 Sep 2018

Deep Learning in Mobile and Wireless Networking: A Survey

Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018

Hamed Haddadi

502

1,455

0

12 Mar 2018

Page 1 of 1