Adnane Cabani
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What Is Said, Who Says It, and How It Spreads: A Socio-Semantic Graph Framework for Fake News Detection Open
The proliferation of misinformation on social media poses a critical challenge. Existing detection approaches often rely on isolated signals like content, propagation structure, or user credibility. However, these signals are ambiguous in …
Toward Sustainable Deep Learning: Comparative Analysis and Optimization of Semantic Segmentation Models Open
begin{abstract}SSemantic segmentation models have become foundational in vision-based applications, yet their environmental impact remains insufficiently explored. In this study, we conduct a comprehensive evaluation of state-of-the-art de…
Interval Split Covariance Intersection Filter: Theory and Its Application to Cooperative Localization in a Multi-Sensor Multi-Vehicle System Open
The data incest problem causes inter-estimate correlation during data fusion processes, which yields inconsistent data fusion results. Especially in the multi-sensor multi-vehicle (MSMV) system, the data incest problem is serious due to mu…
Forecasting the load of Parcel Pickup Points using a Markov Jump Process Open
The growth of e-commerce has resulted in a surge in parcel deliveries, increasing transportation costs and pollution issues. Alternatives to home delivery have emerged, such as the delivery to so-called parcel pick-up points (PUPs), which …
Cooperative Vehicle Localization in Multi-Sensor Multi-Vehicle Systems Based on an Interval Split Covariance Intersection Filter with Fault Detection and Exclusion Open
In the cooperative multi-sensor multi-vehicle (MSMV) localization domain, the data incest problem yields inconsistent data fusion results, thereby reducing the accuracy of vehicle localization. In order to address this problem, we propose …
Load prediction of parcel pick-up points: model-driven vs data-driven approaches Open
Pick-Up Points (PUPs) represent an alternative delivery option for online purchases. Parcels are delivered at a reduced cost to PUPs and wait until being picked up by customers or returned to the original warehouse if their sojourn time is…
Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity Open
International audience
A Survey of Vehicle Localization: Performance Analysis and Challenges Open
Vehicle localization plays a crucial role in ensuring the safe operation of autonomous vehicles and the development of intelligent transportation systems (ITS). However, there is insufficient effort to compare the performance and challenge…
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation Open
A novel approach of data augmentation based on irregular superpixel decomposition is proposed. This approach called SuperpixelGridMasks permits to extend original image datasets that are required by training stages of machine learning-rela…
A Survey of Recent Indoor Localization Scenarios and Methodologies Open
Recently, various novel scenarios have been studied for indoor localization. The trilateration is known as a classic theoretical model of geometric-based indoor localization, with uniform RSSI data that can be transferred directly into dis…
Enhancement of energy consumption estimation for electric vehicles by using machine learning Open
Three main classes are considered of significant influence factors when predicting the energy consumption rate of electric vehicles (EV): environment, driver behaviour, and vehicle. These classes take into account constant or variable para…
Enhancement of energy consumption estimation for electric vehicles by using machine learning Open
Three main classes are considered of significant influence factors when predicting the energy consumption rate of electric vehicles (EV): environment, driver behaviour, and vehicle. These classes take into account constant or variable parame…
SHREC 2021: Surface-based Protein Domains Retrieval Open
Proteins are essential to nearly all cellular mechanism, and often interact through their surface with other cell molecules, such as proteins and ligands. The evolution generates plenty of different proteins, with unique abilities, but als…
Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask'' to limit the spread of COVID-19 Open
In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019-20 coronavirus pandemic. Coronavirus disease 20…
Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask'' to limit the spread of COVID-19 Open
In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019-20 coronavirus pandemic. Coronavirus disease 20…
Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19 Open
In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease …
Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design ofa Mobile Application “CheckYourMask” to Limit the Spread of COVID-19 Open
In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease …
Formally Validated of Novel Tolling Service With the ITS-G5 Open
The arrival of the connected and/or autonomous cars offers countless opportunities for both the user and service provider. In this paper, we present a novel solution for tolling transaction using ITS-G5 technology. Specifically, it investi…