Université de Haute-Alsace

On the Role of Data Normalization in Adversarial Robustness Evaluation: A Comparative Analysis of XGBoost and Random Forest for IoT Network Intrusion Detection

Intrusion detection systems (IDS) based on machine learning (ML) have demonstrated remarkable effectiveness in detecting cyber-attacks in Internet of Things (IoT) environments. Despite their high predictive performance, the robustness of these systems against adversarial attacks...

Compression and vibration behavior of foams, knitted spacers and nonwoven spacers: An experimental study

PU-foams, either used alone or lined with a mesh fabric, are widely employed in the automotive and packaging industries for cushioning and insulation applications. In response to ecological challenges, this study explores and compares the characteristics of three different types...

HighlyTransparent Layer-by-Layer Nanoassembled MulticomponentFilms of TiO2 and Graphene for Increased PhotocatalyticPerformance

Abstract Here, we report novel highly transparent and photoactive multicomponent films for enhanced photocatalytic applications. Some films are based on intimately interfaced TiO2 nanoparticles and few-layer graphene (FLG) assembled through an environmentally friendly aqueous lay...

Thermodynamic characterization of Lewis acid–base interactions on carbon nanomaterials: Validation and Universality of the Hamieh five-parameter model

Understanding the Lewis acid–base properties of carbon materials is essential for predicting adsorption behavior, catalytic performance, and interfacial interactions. In this work, eight carbon materials—graphene, graphene oxide, reduced graphene oxide, untreated carbon fiber, ox...