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Affichage de 2681 à 2690 sur 15882

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⟩

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⟩

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⟩

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⟩

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⟩