Publicaciones

• Article dans une revue

Design of multi-sensor fusion architectures based on the covariance intersection algorithm-estimating calculation burdens

Bilal Daass, Denis Pomorski, Kamel Haddadi

This paper addresses the problem of multi-sensor fusion and estimation for a system composed of several collaborative subsystems. A multi-sensor fusion approach based on the Kalman filter and the covariance intersection algorithm is proposed. Moreover, centralized and distributed architectures are...

Journal of Intelligent and Robotic Systems, 2021, 101 (4), 77, 16 p. ⟨10.1007/s10846-021-01347-9⟩. ⟨hal-03224643⟩

• Article dans une revue

NaTi₂(PO₄)₃ hollow nanoparticles encapsulated in carbon nanofibers as novel anodes for flexible aqueous rechargeable sodium-ion batteries

Bing He, Kuibo Yin, Wenbin Gong, Yuwei Xiong, Qichong Zhang, Jiao Yang, Zhixun Wang, Zhe Wang, Mengxiao Chen, Ping Man, Philippe Coquet, Yagang Yao, Litao Sun, Lei Wei

NASICON-structured NaTi₂(PO₄)₃ (NTP) is an attractive anode material for aqueous rechargeable sodium-ion batteries (ARSIBs) thanks to its three-dimensional open framework and appropriate negative voltage window. Nevertheless, the...

• Article dans une revue

Lesions Detection of Multiple Sclerosis in 3D Brian MR Images by Using Artificial Immune Systems and Support Vector Machines

Amina Merzoug, Nacéra Benamrane, Abdelmalik Taleb-Ahmed

This paper presents a segmentation method to detect multiple sclerosis (MS) lesions in brain MRI based on the artificial immune systems (AIS) and a support vector machines (SVM). In the first step, AIS is used to segment the three main brain tissues white matter, gray matter, and cerebrospinal...

International Journal of Cognitive Informatics and Natural Intelligence, 2021, 15 (2), pp.97-110. ⟨10.4018/IJCINI.20210401.oa8⟩. ⟨hal-03558161⟩

• Article dans une revue

Dispersion characteristics of guided waves in functionally graded anisotropic micro/nano-plates based on the modified couple stress theory

Cancan Liu, Jiangong Yu, Wei-Jiang Xu, Xiaoming Zhang, Xianhui Wang

In this paper, the acoustic wave motion characteristics of Lamb and SH waves in functionally graded (FG) anisotropic micro/nano-plates are studied based on the modified couple stress theory. A higher efficient computational approach, the extended Legendre orthogonal polynomial method (LOPM) is...

Thin-Walled Structures, 2021, 161, pp.107527. ⟨10.1016/j.tws.2021.107527⟩. ⟨hal-03169434⟩

• Communication dans un congrès

[Invited] Pushing the limit of lithography for patterning two-dimensional lattices in III-V semiconductor quantum wells

Nathali Alexandra Franchina Vergel, C. Post, Francois Vaurette, Yannick Lambert, Dmitri Yarekha, Christophe Coinon, G. Fleury, T.S. Kulmala, T. Xu, L. Desplanque, X. Wallart, D. Vanmaekelbergh, Christophe Delerue, B. Grandidier

Building two-dimensional lattices in semiconductor quantum-wells offers the prospect to design distinct energy-momentum dispersions, including conical intersections and nondispersive bands. Here, we compare three lithographic patterning methods, e-beam lithography, block copolymer lithography and...

5th IEEE Electron Devices Technology & Manufacturing Conference, EDTM 2021, Apr 2021, Chengdu, China. pp.1-3, ⟨10.1109/EDTM50988.2021.9420884⟩. ⟨hal-03261329⟩

• Article dans une revue

Simultaneous photocatalytic Cr(VI) reduction and phenol degradation over copper sulphide-reduced graphene oxide nanocomposite under visible light irradiation: Performance and reaction mechanism

Yacine Cherifi, Alexandre Barras, Ahmed Addad, Baghdad Ouddane, Pascal Roussel, Ahcène Chaouchi, Sabine Szunerits, Rabah Boukherroub

The contamination of water by synthetic organic molecules and trace metals is a growing challenge, in spite of the enormous research efforts being made in the field of water treatment. In this study, reduced graphene oxide-copper sulphide (rGO-CuS) nanocomposites of different rGO/CuS (2/1, 1/1, 1/2...

Chemosphere, 2021, pp.128798. ⟨10.1016/j.chemosphere.2020.128798⟩. ⟨hal-03089826⟩

• Article dans une revue

Active stabilization of terahertz semiconductor dual-comb laser sources employing a phase locking technique

Yiran Zhao, Ziping Li, Kang Zhou, Xiaoyu Liao, Wen Guan, Wenjian Wan, Sijia Yang, J. Cao, Dong Xu, S Barbieri, Hua Li

Dual-comb sources with equally spaced and low phase noise frequency lines are of great importance for high resolution spectroscopy and metrology. In the terahertz frequency range, electrically pumped semiconductor quantum cascade lasers (QCLs) are suitable candidates for frequency comb and dual-...

Laser and Photonics Reviews, 2021, 15 (4), pp.2000498. ⟨10.1002/lpor.202000498⟩. ⟨hal-03207715⟩

• Autre publication scientifique

Retracted: Deep learning for real-time semantic segmentation: Application in ultrasound imaging [Pattern Recognition Letters 144 (2021) 27–34]

Abdeldjalil Ouahabi, Abdelmalik Taleb-Ahmed

A real-time architecture of medical image semantic segmentation called Fully Convolution dense Dilated Network, is proposed to improve the segmentation efficiency while ensuring high accuracy. Considering low resolution and contrast, interferences of shadows, as well as differences in nodules’...

2021, pp.27-34. ⟨10.1016/j.patrec.2021.01.010⟩. ⟨hal-03127252⟩

• Article dans une revue

Acoustic radiation force on small spheres due to transient acoustic fields

Qing Wang, Antoine Riaud, Jia Zhou, Zhixiong Gong, Michael Baudoin

Acoustic radiation force is a net force experienced by an object under the action of an acoustic wave. Most theoretical models require the acoustic wave to be periodic, if not purely monofrequency, and are therefore irrelevant for the study of acoustic radiation force due to acoustic pulses. Here,...

Physical Review Applied, 2021, 15 (4), pp.044034. ⟨10.1103/physrevapplied.15.044034⟩. ⟨hal-03347649⟩

• Communication dans un congrès

Defensive approximation: securing CNNs using approximate computing

Amira Guesmi, Ihsen Alouani, Khaled Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh

In the past few years, an increasing number of machine-learning and deep learning structures, such as Convolutional Neural Networks (CNNs), have been applied to solving a wide range of real-life problems. However, these architectures are vulnerable to adversarial attacks: Inputs crafted carefully...

26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS'21, Apr 2021, Virtual, USA, United States. pp.990-1003, ⟨10.1145/3445814.3446747⟩. ⟨hal-03264750⟩