Search Results for author:
Found 9 papers, 5 papers with code
LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge
The cellular network plays a pivotal role in providing Internet access, since it is the only global-scale infrastructure with ubiquitous mobility support.
Russo-Ukrainian War: Prediction and explanation of Twitter suspension
This study focuses on the Twitter suspension mechanism and the analysis of shared content and features of the user accounts that may lead to this.
BotArtist: Twitter bot detection Machine Learning model based on Twitter suspension
We collect the ground truth for our dataset through the Twitter API suspended accounts collection, containing approximately 343K of bot accounts and 8M of normal users.
Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments
Modern Internet of Things (IoT) environments are monitored via a large number of IoT enabled sensing devices, with the data acquisition and processing infrastructure setting restrictions in terms of computational power and energy resources.
Twitter Dataset on the Russo-Ukrainian War
On 24 February 2022, Russia invaded Ukraine, also known now as Russo-Ukrainian War.
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured.
End-to-end Wireless Path Deployment with Intelligent Surfaces Using Interpretable Neural Networks
A feedforward/backpropagate process optimizes these weights to match ideal propagation outcomes (normalized network power outputs) to wireless user emissions (normalized network power inputs).
An Interpretable Neural Network for Configuring Programmable Wireless Environments
A network of SDMs deployed over objects within an area, such as a floorplan walls, creates programmable wireless environments (PWEs) with fully customizable propagation of waves within them.
Please Forget Where I Was Last Summer: The Privacy Risks of Public Location (Meta)Data
We further explore the mismatch between user actions and information exposure and find that older versions of the official Twitter apps follow a privacy-invasive policy of including precise GPS coordinates in the metadata of tweets that users have geotagged at a coarse-grained level (e. g., city).
Computers and Society Cryptography and Security
