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

, , and . CoNEXT, page 363-375. ACM, (2017)

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Deep Learning in Mobile and Wireless Networking: A Survey., , and . CoRR, (2018)ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection., , , , , , , , , and . Proc. VLDB Endow., 17 (3): 359-372 (November 2023)Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction., , , and . GLOBECOM, page 1-6. IEEE, (2021)Field-aware Variational Autoencoders for Billion-scale User Representation Learning., , , , , , , and . ICDE, page 3413-3425. IEEE, (2022)Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls., , , , and . MLN, volume 11407 of Lecture Notes in Computer Science, page 146-165. Springer, (2018)QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction., , , , , , and . CoRR, (2024)A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks., , , , and . IEEE Commun. Mag., 58 (6): 20-25 (2020)Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs., , , , and . IEEE Access, (2020)Microscope: mobile service traffic decomposition for network slicing as a service., , , and . MobiCom, page 38:1-38:14. ACM, (2020)QuickSkill: Novice Skill Estimation in Online Multiplayer Games., , , , , , and . CIKM, page 3644-3653. ACM, (2022)