Publicaciones

Affichage de 2041 à 2050 sur 16175


  • Article dans une revue

Sustainability in (bio-)analytical chemistry [Editorial]

Antje Baeumner, Günter Gauglitz, Luigi Mondello, María Cruz Moreno Bondi, Sabine Szunerits, Qiuquan Wang, Stephen Wise, Adam Woolley

We all live on this amazing planet, which, with available sunlight and abundant resources, offers more than enough to maintain life and livelihood. Nevertheless, how we continue to consume what the Earth provides will decide for what duration humanity will still be able to meet these ongoing needs...

Analytical and Bioanalytical Chemistry, 2022, 414 (21), pp.6281-6284. ⟨10.1007/s00216-022-04211-3⟩. ⟨hal-03741435⟩

  • Poster de conférence

Hydrogel Embedding Polydopamine Nanoparticles for a Synergistic Photodynamic and Photothermal Therapy Targeting Diabetic Foot Ulcers

Sarah Defrancois, Alexandre Barras, Rabah Boukherroub, Mickael Maton, Nicolas Blanchemain, Patrice Woisel, Joel Lyskawa

ESB2022 - the 32nd Annual Conference of the European Society for Biomaterials, Sep 2022, Bordeaux, France. ⟨hal-04400445⟩

  • Article dans une revue

Bound states in the continuum and Fano resonances in photonic and plasmonic loop structures

Madiha Amrani, Soufyane Khattou, Housni Al-Wahsh, Yamina Rezzouk, El Houssaine El Boudouti, Cécile Ghouila-Houri, Abdelkrim Talbi, Abdellatif Akjouj, L. Dobrzynski, Bahram Djafari-Rouhani

The design and study of structures exhibiting bound states in the continuum (BICs) are the object of continuous works in wave physics. These long-lived states which are localized in some parts of the system without interacting with the background have found several potential applications due to...

Optical and Quantum Electronics, 2022, 54 (9), pp.599. ⟨10.1007/s11082-022-03991-3⟩. ⟨hal-03748033⟩

  • Article dans une revue

RGBD deep multi-scale network for background subtraction

Ihssane Houhou, Athmane Zitouni, Yassine Ruichek, Salah Eddine Bekhouche, Mohamed Kas, Abdelmalik Taleb-Ahmed

This paper proposes a novel deep learning model called deep multi-scale network (DMSN) for background subtraction. This convolutional neural network is built to use RGB color channels and Depth maps as inputs with which it can fuse semantic and spatial information. In comparison with previous deep...

International Journal of Multimedia Information Retrieval, 2022, 11, pp.395-407. ⟨10.1007/s13735-022-00232-x⟩. ⟨hal-03672240⟩