:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Xu, Yifei, Ge, Jingguo, Tang, Haina, Ding, Shuai, Li, Tong, Li, Hui
Formato:	Preprint
Publicado:	2024
Materias:	Networking and Internet Architecture Machine Learning
Acceso en línea:	https://arxiv.org/abs/2408.07894
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
por: Gupta, Ragini, et al.
Publicado: (2025)

Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
por: Deng, Lei, et al.
Publicado: (2025)

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
por: Rong, Yi, et al.
Publicado: (2024)

Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning
por: Farajzadeh, Amin, et al.
Publicado: (2025)

Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
por: Wen, Dong, et al.
Publicado: (2024)

Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
por: Lin, ChungYi, et al.
Publicado: (2024)

Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
por: Chen, Xiangchun, et al.
Publicado: (2024)

Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective
por: Tang, Zhe, et al.
Publicado: (2024)

Proactive SFC Provisioning with Forecast-Driven DRL in Data Centers
por: Moshiri, Parisa Fard, et al.
Publicado: (2026)

LLM-Sketch: Enhancing Network Sketches with LLM
por: Li, Yuanpeng, et al.
Publicado: (2025)

Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
por: Chu, Lei, et al.
Publicado: (2024)

Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks
por: Abdelli, Khouloud, et al.
Publicado: (2024)

Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
por: Yan, Jinzhu, et al.
Publicado: (2024)

TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
por: Ding, Junhui, et al.
Publicado: (2026)

MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
por: Zhang, Yujun, et al.
Publicado: (2025)

Data-driven Intra-Autonomous Systems Graph Generator
por: Dadauto, Caio Vinicius, et al.
Publicado: (2023)

Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
por: Zhang, Yinchao, et al.
Publicado: (2025)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
por: Sun, Yuchang, et al.
Publicado: (2021)

Meta-Continual Mobility Forecasting for Proactive Handover Prediction
por: Mandapati, Sasi Vardhan Reddy
Publicado: (2025)

Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systems
por: Sun, Haili, et al.
Publicado: (2024)

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
por: Liu, Qinshuo, et al.
Publicado: (2025)

NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series
por: Guthula, Satyandra, et al.
Publicado: (2025)

Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
por: Qiao, Nan, et al.
Publicado: (2026)

Deep Learning Network-Temporal Models For Traffic Prediction
por: Xin, Yufeng, et al.
Publicado: (2026)

Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity
por: Chen, Yiming, et al.
Publicado: (2024)

Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
por: Hao, Xin, et al.
Publicado: (2023)

LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge
por: Zacharopoulos, Konstantinos, et al.
Publicado: (2024)

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
por: Anyfantis, Georgios, et al.
Publicado: (2026)

Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments
por: Lu, Jingxi, et al.
Publicado: (2025)

Agile Orchestration at Will: An Entire Smart Service-Based Security Architecture Towards 6G
por: Duan, Zhuoran, et al.
Publicado: (2025)

iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
por: Luo, Jiangtao, et al.
Publicado: (2026)

Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
por: Islam, Nazmul, et al.
Publicado: (2024)

Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction
por: Kuo, Yi-Ling, et al.
Publicado: (2026)

Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
por: Zhang, Zifan, et al.
Publicado: (2024)

Three Pillars Towards Next-Generation Routing System
por: Li, Lei, et al.
Publicado: (2024)

Which Deep Learner? A Systematic Evaluation of Advanced Deep Forecasting Models Accuracy and Efficiency for Network Traffic Prediction
por: Babai, Eilaf MA, et al.
Publicado: (2026)

PLATONT: Learning a Platonic Representation for Unified Network Tomography
por: Du, Chengze, et al.
Publicado: (2025)

EKF-Based Fusion of Wi-Fi/LiDAR/IMU for Indoor Localization and Navigation
por: Li, Zeyi, et al.
Publicado: (2025)

Morphlux: Transforming Torus Fabrics for Efficient Multi-tenant ML
por: Kumar, Abhishek Vijaya, et al.
Publicado: (2025)

Automatic Generation of Digital Twins for Network Testing
por: Ding, Shenjia, et al.
Publicado: (2025)