Publications

• Thèse

Development of deep learning-based precision tools for Plasmodium and Cryptosporidium parasites analysis from microscopic images, Développement d'outils de précision basés sur l'apprentissage profond pour l'analyse des parasites Plasmodium et Cryptosporidium à partir d'images microscopiques

Ziheng Yang

In this thesis, we have proposed two main contributions related to the Malaria parasite and Cryptosporidium parasite analysis from microscopic images using deep learning techniques.More specifically, in the first contribution, we have proposed a framework for diagnosing Malaria infection in humans…, Dans cette thèse, nous avons proposé deux contributions principales liées à l'analyse par apprentissage profond des parasites Malaria et Cryptosporidium à partir d'images microscopiques.Plus spécifiquement, dans la première contribution, nous avons proposé un framework pour diagnostiquer…

Micro and nanotechnologies/Microelectronics. Université de Lille, 2022. English. ⟨NNT : 2022ULILN049⟩. ⟨tel-04221290⟩

• Communication dans un congrès

Demonstration of Terahertz Molecular Switches

Imen Hnid, David Guérin, Lionel Sanguinet, Philippe Blanchard, Imane Arbouch, Colin van Dyck, Jérôme Cornil, Stéphane Lenfant, Dominique Vuillaume

SPIC 2022 : Quatrième congrès national Sciences et Technologies des systèmes pi-conjugués, Dec 2022, Saint Malo - France, France. ⟨hal-05114880⟩

• Communication dans un congrès

Energy-Efficient Solutions in Two-user Downlink NOMA Systems Aided by Ambient Backscattering

Hajar El Hassani, Anne Savard, Elena Veronica Belmega, Rodrigo C. De Lamare

In this paper, the energy efficiency of a two-user downlink NOMA system aided by several ambient backscatter devices is investigated. We analyze both the tradeoff and the ratio between achievable rates versus power consumption, assuming that the backscatter devices are in fully cooperative mode. In…

IEEE Global Communications Conference (GLOBECOM), Dec 2022, Rio de Janeiro, Brazil. ⟨10.1109/globecom48099.2022.10001031⟩. ⟨hal-03793375⟩

• Poster de conférence

Quelques modèles d’optique intégrée qui pourraient être utiles dans le moyen infrarouge

Vincent Magnin, Joseph Harari, Mathieu Halbwax, Samuel Dupont

5e Journée Thématique : Guides d'ondes pour le moyen infrarouge et le Terahertz, Dec 2022, Villeneuve d'Ascq, France. . ⟨hal-04457912⟩

• Article dans une revue

A colorimetric assay and MCR-ALS analysis of the peroxidase-like activity of poly (N-phenylglycine) functionalized with polyethylene glycol (PNPG-PEG) nanozyme for the determination of dopamine

Mehri Razavi, Alexandre Barras, Sabine Szunerits, Maryam Khoshkam, Mohsen Kompany-Zareh, Rabah Boukherroub

This report describes, for the first time, the coupling of UV–visible spectroscopy with multivariate curve resolution-alternative least-squares (MCR-ALS) algorithm to study peroxidase-like catalytic reaction of polyethylene glycol-functionalized poly (N-phenyl glycine) (PNPG-PEG) as an efficient…

Analytica Chimica Acta, 2022, 1235, pp.340493. ⟨10.1016/j.aca.2022.340493⟩. ⟨hal-03839132⟩

• Article dans une revue

IDT: an incremental deep tree framework for biological image classification

Wafa Mousser, Salima Ouadfel, Abdelmalik Taleb-Ahmed, Ilham Kitouni

Nowadays, breast and cervical cancers are respectively the first and fourth most common causes of cancer death in females. It is believed that, automated systems based on artificial intelligence would allow the early diagnostic which increases significantly the chances of proper treatment and…

Artificial Intelligence in Medicine, 2022, 134, pp.102392. ⟨10.1016/j.artmed.2022.102392⟩. ⟨hal-03895733⟩

• Article dans une revue

Synergism induced sensitive SERS sensing to detect 2,6-Di-t-butyl-p-hydroxytoluene (BHT) with silver nanotriangles sensitized ZnO nanorod arrays for food security applications

Krithikadevi Ramachandran, Abderrahmane Hamdi, Soumya Columbus, Nour Al Meselmene, El Hadj Dogheche, Kais Daoudi, Mounir Kaidi

By the over exploitation of synthetic phenolic antioxidants [2,6-Di-t-butyl-p-hydroxytoluene (BHT)] alarm the society with greater health risk urge for careful monitoring and assessment. To accomplish the objective, surface enhanced Raman scattering (SERS) is explored as prominent technique for…

Surfaces and Interfaces, 2022, 35, pp.102407. ⟨10.1016/j.surfin.2022.102407⟩. ⟨hal-03835398⟩

• Article dans une revue

An electronic nose using conductometric gas sensors based on P3HT doped with triflates for gas detection using computational techniques (PCA, LDA, and kNN)

Aicha Boujnah, Aimen Boubaker, Sébastien Pecqueur, Kamal Lmimouni, Adel Kalboussi

This study presents the development of an electronic nose comprising eight homemade sensors with pure P3HT and doped with different materials. The objective is to electronically identify the gases exposed on these sensors and evaluate the accuracy of target-gas classification. The resistance…

Journal of Materials Science: Materials in Electronics, 2022, 33, pp.27132-27146. ⟨10.1007/s10854-022-09376-2⟩. ⟨hal-03851261⟩

• Article dans une revue

SARS-CoV-2 detection using a nanobody-functionalized voltammetric device

Quentin Pagneux, Alain Roussel, Hiba Saada, Christian Cambillau, Béatrice Amigues, Vincent Delauzun, Ilka Engelmann, Enagnon Kazali Alidjinou, Judith Ogiez, Anne Sophie Rolland, Julien Poissy, Alain Duhamel, Rabah Boukherroub, David Devos, Sabine Szunerits

Background: An ongoing need during the COVID-19 pandemic has been the requirement for accurate and efficient point-of-care testing platforms to distinguish infected from non-infected people, and to differentiate SARS-CoV-2 infections from other viruses. Electrochemical platforms can detect the…

Communications Medicine, 2022, 2 (1), pp.56. ⟨10.1038/s43856-022-00113-8⟩. ⟨hal-03681653⟩

• Article dans une revue

Dendrogram-based Artificial Neural Network modulation classification for dual-hop cooperative relaying communications

H. Moulay, A.B. Djebbar, B. Dehri, Iyad Dayoub

This paper contributes to the growing field of Artificial Neural Networks (ANNs) strategies of Automatic Modulation Identification (AMI) for Cognitive Radio (CR). Traditional AMI-based ANN methods suffer from many drawbacks such as overfitting due to ANN architectures with complex layers, low…

Physical Communication, 2022, 55, pp.101929. ⟨10.1016/j.phycom.2022.101929⟩. ⟨hal-03852280⟩