Publicaciones

• Article dans une revue

[Review] The role of the surface ligand on the performance of electrochemical SARS-CoV-2 antigen biosensors

Sabine Szunerits, Quentin Pagneux, Abir Swaidan, Vladyslav Mishyn, Alain Roussel, Christian Cambillau, David Devos, Ilka Engelmann, Enagnon Kazali Alidjinou, Henri Happy, Rabah Boukherroub

Point-of-care (POC) technologies and testing programs hold great potential to significantly improve diagnosis and disease surveillance. POC tests have the intrinsic advantage of being able to be performed near the patient or treatment facility, owing to their portable character. With rapid results...

Analytical and Bioanalytical Chemistry, 2022, 414, pp 103-113. ⟨10.1007/s00216-020-03137-y⟩. ⟨hal-03335177⟩

• Article dans une revue

Temperature and Gate-Length Dependence of Subthreshold RF Detection in GaN HEMTs

Gaudencio Paz-Martínez, Ignacio Íñiguez-De-La-Torre, Héctor Sánchez-Martín, José Antonio Novoa-López, Virginie Hoel, Yvon Cordier, Javier Mateos, Tomás González

The responsivity of AlGaN/GaN high-electron mobility transistors (HEMTs) when operating as zero-bias RF detectors in the subthreshold regime exhibits different behaviors depending on the operating temperature and gate length of the transistors. We have characterized in temperature (8–400 K) the...

Sensors, 2022, 22 (4), pp.1515. ⟨10.3390/s22041515⟩. ⟨hal-03582713⟩

• Article dans une revue

Map-Matching-Based Localization Using Camera and Low-Cost GPS For Lane-Level Accuracy

Rahmad Sadli, Mohamed Afkir, Abdenour Hadid, Atika Rivenq, Abdelmalik Taleb-Ahmed

For self-driving systems or autonomous vehicles (AVs), accurate lane-level localization is a necessity for performing complex driving maneuvers. Classical GNSS based methods are usually not accurate enough to have lane-level localization to support the AV’s maneuvers. LiDAR-based localization can...

Procedia Computer Science, 2022, 198, pp.255-262. ⟨10.1016/j.procs.2021.12.237⟩. ⟨hal-03664756⟩

• Article dans une revue

Efficient palmprint biometric identification systems using deep learning and feature selection methods

Selma Trabelsi, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed

Over the past two decades, several studies have paid great attention to biometric palmprint recognition. Recently, most methods in literature adopted deep learning due to their high recognition accuracy and the capability to adapt with different acquisition palmprint images. However, high-...

Neural Computing and Applications, 2022, 34, pp.12119-12141. ⟨10.1007/s00521-022-07098-4⟩. ⟨hal-03614754⟩

• Communication dans un congrès

Real-time Traffic Data Collection Using The Two Simulators SUMO and OMNeT++

Riham Farhani, Yassin El Hillali, Atika Rivenq, Abdelwahed Hajjaji, Yahia Boughaleb

Electric vehicles (EVs) are one of the encouraging solutions to improve energy efficiency and reduce carbon emissions in the transportation sector. Today, electric vehicles have experienced massive growth that has brought multiple benefits to the energy and transportation sectors, but they can also...

2022 11th International Symposium on Signal, Image, Video and Communications (ISIVC), May 2022, El Jadida, Morocco. pp.1-4, ⟨10.1109/ISIVC54825.2022.9800716⟩. ⟨hal-03707030⟩

• Article dans une revue

[Editorial] Advancements in sensor technology with innovative and significant research publications: how to write that perfect paper?

Antje Baeumner, Hua Cui, Günter Gauglitz, Maria Moreno-Bondi, Sabine Szunerits, Adam Woolley

Analytical and Bioanalytical Chemistry, 2022, 414, pp.21-24. ⟨10.1007/s00216-021-03417-1⟩. ⟨hal-03441132⟩

• Article dans une revue

Investigation of the Eigen Frequency of a Cantilever Microbeam Immersed in a Fluid Under the Piezoelectric Effect

Victory Elias, Flavie Braud, Philippe Champagne, Georges Nassar

In this paper, a new model of piezoelectric cantilever is developed, it can be heavily used in a micro electromechanical system (MEMS). This new prototype eliminates several risks caused by the previous means already used and increases the sensation in terms of rheology. Our approach is based on...

Sensors & Transducers., 2021, 254 (7), pp.31-37. ⟨hal-03564209⟩

• Article dans une revue

Dendritic Organic Electrochemical Transistors Grown by Electropolymerization for 3D Neuromorphic Engineering

K. Janzakova, M. Ghazal, A. Kumar, Yannick Coffinier, Sébastien Pecqueur, F. Alibart

One of the major limitations of standard top-down technologies used in today's neuromorphic engineering is their inability to map the 3D nature of biological brains. Here, it is shown how bipolar electropolymerization can be used to engineer 3D networks of PEDOT:PSS dendritic fibers. By...

Advanced Science, 2021, 8 (24), pp.2102973. ⟨10.1002/advs.202102973⟩. ⟨hal-03542157⟩

• Communication dans un congrès

Performance Projection of GaN HEMT: Bias and Temperature Dependent Study of 3 rd -Order Intermodulation Distortion

Mohammad Alim, I. Jahan, Mayahsa Ali, Christophe Gaquière

The third-order intermodulation distortion in AlGaN/GaN high electron mobility transistors fabricated on SiC substrate for power amplifier applications is reported in this study as a function of bias and temperature. The nonlinearity of active devices in terms of frequency and input power was...

2021 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI), Dec 2021, Dhaka, Bangladesh. pp.1-4, ⟨10.1109/STI53101.2021.9732585⟩. ⟨hal-03663718⟩

• Pré-publication, Document de travail

Condensation and Growth of Amorphous Aluminosilicate Nanoparticles by Aggregation Process

Romain Dupuis, Seung Ho Hahn, Adri C. T. van Duin, Roland Pellenq, Arnaud Poulesquen

The precipitation of zeolite nanoparticles involves the initial formation of metastable precursors such as amorphous entities that crystalize through non-classical pathways. Here, using reactive force field based simulations, we reveal how aluminosilicate oligomers grow concomitantly to the...

2021. ⟨hal-03484661⟩