IMDEA Networks: Envíos recientes
Mostrando ítems 261-280 de 1909
-
Forecasting Network Traffic: A Survey and Tutorial with Open-Source Comparative Evaluation
(IEEE, 2023-01-11)journal article -
Using Survey Data to Estimate the Impact of the Omicron Variant on Vaccine Efficacy against COVID-19 Infection
(Springer Nature, 2023-01)journal article -
Driving Under Influence: Robust controller migration for MEC-enabled platooning
(Elsevier, 2022-10-11)journal article -
Explainable Machine Learning for Performance Anomaly Detection and Classification in Mobile Networks
(Elsevier, 2023-02-15)journal article -
On the Limit Performance of Floating Gossip
(2023-05)conference object -
Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem
(2023-01-10)journal article -
Scalable Outlier Detection Methods for Functional Data
(2022-11-30)doctoral thesis -
“And all the pieces matter...” Hybrid Testing Methods for Android App’s Privacy Analysis
(2022-11-29)doctoral thesis -
Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests
(2023-05)conference object -
Henna: hierarchical machine learning inference in programmable switches
(2022-12-09)conference object -
Optimizing network control and resource allocation in large scale ultra dense mm-wave networks
(2022-09-28)doctoral thesis -
Enabling Unmanned Aerial Vehicles for the near future applications
(2022-07-05)doctoral thesis -
In-depth Study of RNTI Management in Mobile Networks: Allocation Strategies and Implications on Data Trace Analysis
(2022-12-24)journal article -
Beyond Voronoi: Plain Probabilistic Spatial Coverage Inference from Base Station Deployments
(2022-06-08)conference object -
VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata
(2022-10-25)conference object -
Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods
(2022-12)conference object -
Measuring the Price of Data in Commercial Data Marketplaces
(2022-11-30)conference object -
Try Before You Buy: a Practical Data Purchasing Algorithm for Real-World Data Marketplaces
(2022-11-30)conference object -
FL-Torrent: decentralised AI for the masses
(2022-06-08)conference object