Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
In this chapter, we present a review of recent progress in the modeling of lightning strikes to tall structures. Since some tall structures are struck by lightning several tens of times per year, they can be used as ground-truth to measure and calibrate th ...
This article investigates the performance and accuracy of continuous Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) position tracking for hydromorphological surveys, based on a comprehensive river restoration monitoring campaign. The a ...
In recent years, several industries have widely applied BLDC servomotors for various purposes that they almost need a control system to be accurate and robust. In this paper, we compare an adaptive fuzzy controller and PI controller for BLDC servomotor pos ...
Microfluidic is an ensemble of technologies and methods that permits the handling and analysis of minute volumes of samples in short timescales. Since its introduction it revealed a remarkable potential to unveil novel biological mechanisms. The small volu ...
Information acquisition through crowdsensing with mobile agents is a popular way to collect data, especially in the context of smart cities where the deployment of dedicated data collectors is expensive and ineffective. It requires efficient information el ...
The rapidly growing demand to share data more openly creates a need for secure and privacy-preserving sharing technologies. However, there are multiple challenges associated with the development of a universal privacy-preserving data sharing mechanism, and ...
Location privacy of aircraft has recently gained attention as air traffic management was modernized using novel surveillance technologies. Business aviation circles and various military and government entities voiced serious concerns about automated and ub ...
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models have been recently proposed to p ...
Poor indoor air quality has been associated with health issues and decreased work performance. Personal exposure that takes place both in outdoor and indoor environments is the result of dy-namic processes and complex interactions between people and surrou ...
With the prevalence of smartphones, watches, and Internet of Things (IoT) devices, the abilityto track their positions is becoming increasingly important. For many indoor positioningsystems (IPSs), providing an uninterrupted flow of information in real-tim ...