Publications

• 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

Rayleigh Modes Generated by Laser-Ultrasonics at the Film-Substrate Interface for the Study of Adhesion

Martin Robin, Meriem Chrifi Alaoui, Frédéric Jenot, Mohammadi Ouaftouh, Marc Duquennoy

Adhesion testing of film-on-substrate structures by surface acoustic waves is a complex issue. Indeed, the fluctuations of some parameters like the film thickness can lead to misinterpretation of the experimental results. Additionally, in laser-ultrasonics, the positions of the generation and…

16ème Congrès Français d'Acoustique, CFA 2022, Société Française d'Acoustique; Laboratoire de Mécanique et d'Acoustique, Apr 2022, Marseille, France. ⟨hal-03688151v2⟩

• Article dans une revue

State of the Art of Chemosensors in a Biomedical Context

Erich Kny, Ciril Reiner-Rozman, Jakub Dostalek, Achim-Walter Hassel, Christa Nöhammer, Florian Pfaffeneder-Mantai, Sabine Szunerits, Viktoria Weber, Wolfgang Knoll, Christoph Kleber

Healthcare is undergoing large transformations, and it is imperative to leverage new technologies to support the advent of personalized medicine and disease prevention. It is now well accepted that the levels of certain biological molecules found in blood and other bodily fluids, as well as in…

Chemosensors, 2022, 10 (6), pp.199. ⟨10.3390/chemosensors10060199⟩. ⟨hal-03681612⟩

• Article dans une revue

In-plane InGaAs/Ga(As)Sb nanowire based tunnel junctions grown by selective area molecular beam epitaxy

Alexandre Bucamp, Christophe Coinon, Sylvie Lepilliet, David Troadec, Gilles Patriarche, M Diallo, Vanessa Avramovic, Kamel Haddadi, X. Wallart, L. Desplanque

In-plane InGaAs/Ga(As)Sb heterojunction tunnel diodes are fabricated by selective area molecular beam epitaxy with two different architectures: either radial InGaAs core/Ga(As)Sb shell nanowires or axial InGaAs/GaSb heterojunctions. In the former case, we unveil the impact of strain relaxation and…

Nanotechnology, 2022, 33 (14), pp.145201. ⟨10.1088/1361-6528/ac45c5⟩. ⟨hal-03547003⟩

• Article dans une revue

Combined surface x-ray diffraction and density functional theory study of the germanene/Al(111)-(7×7) R19.1° structure

K. Zhang, M.C. Hanf, D. Sciacca, Romain Bernard, Yves Borensztein, A. Resta, Yves Garreau, A. Vlad, A. Coati, Isabelle Lefebvre, M. Derivaz, C. Pirri, P. Sonnet, R. Stephan, G. Prévot

Several studies have reported the possible growth of germanene on various metal surfaces. However, the exact structure of the layers formed upon evaporation at or above room temperature remains controversial. In particular, the layers obtained after Ge deposition on Al(111) have been either…

Physical Review B, 2022, 106 (4), pp.045412. ⟨10.1103/PhysRevB.106.045412⟩. ⟨hal-03742119⟩

• Article dans une revue

Ultrasonic investigation of the effect of compressive strains on 3D periodic bi-material structures

Lynda Chehami, Jingfei Liu, Pascal Pomarède, Paul Lohmuller, Boris Pittrowski, Fodil Meraghni, Nico Declercq

Due to the specific elastic properties such as high stiffness to mass ratio, regular microstructure materials are widely used in the industry. The need for nondestructive evaluation is ubiquitous to ensure material quality. As an effective nondestructive testing method, ultrasound has great…

Acta Acustica, 2022, 6, pp.26. ⟨10.1051/aacus/2022023⟩. ⟨hal-03748457⟩

• Communication dans un congrès

Mise en œuvre de capteurs RF-MEMS acoustiques pour l’industrie 4.0

Yannick Dusch, Cécile Ghouila-Houri, Aurélien Mazzamurro, Ghizlane Boussatour, Hatem Dahmani, Olivier Bou Matar, Vincent Maurice, Philippe Pernod, Abdelkrim Talbi

Cette étude propose la conception complète d’un système de suivi à distance des sollicitations mécaniques dans les machines électriquesafin de répondre aux problématiques de l’industrie 4.0 et de la maintenance prédictive. Elle s’appuie sur la conception, la fabrication et la caractérisation de…

16emes journées pédagogiques du CNFM, JPCNFM’2021, CNFM, Dec 2021, Saint-Malo, France. 6 p., J3eA Hors-série 1 - Actes JPCNFM’2021, Volume 21 (2022), ⟨10.1051/j3ea/20221019⟩. ⟨hal-03464507⟩

• Communication dans un congrès

[Invited] Quand la chimie du solide rencontre la micro-électronique: les micro-batteries 3D

Pascal Roussel, Christophe Lethien

2ème journées recherche de l'Université de Lille, 2022, Villeneuve d’Ascq, France. ⟨hal-03718364⟩

• Communication dans un congrès

Unsupervised deep learning to solve power allocation problems in cognitive relay networks

Yacine Benatia, Anne Savard, Romain Negrel, Elena Veronica Belmega

In this paper, an unsupervised deep learning approach is proposed to solve the constrained and non-convex Shannon rate maximization problem in a relay-aided cognitive radio network. This network consists of a primary and a secondary user-destination pair and a secondary full-duplex relay performing…

IEEE International Conference on Communications Workshops, ICC Workshops 2022, May 2022, Séoul, South Korea. ⟨10.1109/ICCWorkshops53468.2022.9814541⟩. ⟨hal-03534545v4⟩

• Chapitre d'ouvrage

Chapter 3. Surface modification of silicon nanowires for biosensing

Yannick Coffinier, Rabah Boukherroub

Silicon nanowires (Si NWs) are one of the most important one-dimensional semiconductors, partly due to their ready implementation in modern technology. As sensing applications using Si NWs increase, it is necessary to have well-defined chemical attachment schemes that will provide the desired…

Semiconducting Silicon Nanowires for Biomedical Applications, Elsevier, pp.25-68, 2022, A volume in Woodhead Publishing Series in Biomaterials, ISBN 978-0-12-821351-3. ⟨10.1016/B978-0-12-821351-3.00017-3⟩. ⟨hal-03663951⟩