Concept

Network monitoring

Related publications (60)

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Information theory has allowed us to determine the fundamental limit of various communication and algorithmic problems, e.g., the channel coding problem, the compression problem, and the hypothesis testing problem. In this work, we revisit the assumptions ...

EPFL2024

Learning a QoE Metric from Social Media and Gaming Footage

Catalina Paz Alvarez Inostroza

Defining a universal metric for Quality of Experience (QoE) is notoriously hard due to the complex relationship between low-level performance metrics and user satisfaction. The most common metric, the Mean Opinion Score (MOS), has well-known biases and inc ...

2023

Toward Internet Performance Transparency

Georgia Fragkouli

From medical support to education and remote work, our everyday lives increasingly depend on Internet performance. When users experience poor performance, however, the decentralization of the Internet allows limited visibility into which network is respons ...

EPFL2022

Explorer la presse numérisée : le projet Impresso

Maud Ehrmann

« Impresso – Media Monitoring of the Past » est un projet de recherche interdisciplinaire dans lequel une équipe d’historiens, de linguistes informaticiens et de designers collabore à la mise en données d’un corpus d’archives de presse numérisées. Les prin ...

2021

Detection and Measurement of Matrix Discontinuities in UHPFRC by Means of Distributed Fiber Optics Sensing

Bartlomiej Wojciech Sawicki, Antoine Bassil

Following the significant improvement in their properties during the last decade, Distributed Fiber Optics sensing (DFOs) techniques are nowadays implemented for industrial use in the context of Structural Health Monitoring (SHM). While these techniques ha ...

2020

Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

SARS-CoV-2 spreads via close contact during daily activities, forming clusters of cases mainly in households and workplaces. A crucial challenge to contain the spread lies in the early detection of these outbreak clusters, and the localisation and isolatio ...

2020

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Volkan Cevher

Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been in the limelight because of many recent breakthroughs in artificial intelligence, including defeating humans in games (e.g., chess, Go, StarCraft), self-driving cars, s ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Soft and stretchable liquid metal transmission lines as distributed probes of multimodal deformations

Fabien Sorin, Andreas Leber, Chaoqun Dong, Nicola Bartolomei, Rajasundar Chandran

Mechanical sensing represents a key functionality in soft electronics for applications in health monitoring, human–machine interaction, or soft robotics. Current approaches typically rely on intricate networks of sensors specific to one type of deformation ...

2020

Comparison of Two Value-Modeling Methods: e3 value and SEAM

Gil Regev, Alain Wegmann, Blagovesta Hristova Kostova

In the last few decades, several value-modeling methods have emerged in requirements engineering for IS research. We compare two value-modeling methods, e3value and SEAM. We illustrate their use with an example of the exchange of the Intellectual Property ...

IEEE2019

Consistent Tomography over Diffusion Networks under the Low-Observability Regime

Ali H. Sayed, Augusto José Rabelo Almeida Santos

This work considers a diffusion network responding to streaming data, and studies the problem of identifying the topology of a subnetwork of observable agents by tracking their output measurements. Topology inference from indirect and/or incomplete dataset ...

IEEE2018

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