Publicaciones

Affichage de 2651 à 2660 sur 16175


  • Communication dans un congrès

Métasurface pour la récupération de l'énergie électromagnétique ambiante

A.R. Djouadi, Ludovic Burgnies, Eric Lheurette

9eme Conférence plénière du GdR Ondes, GDR ONDES 2451, Nov 2021, Villeneuve d'Ascq, France. ⟨hal-03741459⟩

  • Poster de conférence

Analyse du couplage optomécanique par la méthode des perturbations

Samuel Dupont, Joseph Gazalet, Jean-Claude Kastelik

Neuvième Conférence Plénière du GDR ONDES, Nov 2021, Villeneuve d'Asccq, France. ⟨hal-04467494⟩

  • Communication dans un congrès

[Invited] Electron, spin and thermal transport at the nanoscale in molecular devices: a journey through recent results.

Dominique Vuillaume

10th Int. Conf. on Molecular Electronics, Nov 2021, Lyon, France. ⟨hal-04559867⟩

  • Communication dans un congrès

[Invited] Assessing electron transport through 2D molecule-nanoparticle networks for reservoir computing sensing

Dominique Vuillaume

10th International Conference on Molecular Electronics (ElecMol) 2021, Nov 2021, Lyon, France. ⟨hal-04552243⟩

  • Communication dans un congrès

Analog Duty Cycle Controller Using Backgate Body Biasing For 5G Millimeter Wave Applications

Clément Beauquier, David Duperray, Chadi Jabbour, Patricia Desgreys, Antoine Frappé, Andreas Kaiser

This work presents the first 21-43 GHz CMOS analog Duty Cycle Controller (DCC) implemented in 28 nm FDSOI. The main application is millimeter wave mixers with CMOS digital signals. The proposed circuit corrects the input duty cycle with a negative feedback analog loop. Observability of the duty...

28th IEEE International Conference on Electronics Circuits and Systems, ICECS 2021, Nov 2021, Dubai, United Arab Emirates. ⟨10.1109/ICECS53924.2021.9665600⟩. ⟨hal-03515052⟩

  • Communication dans un congrès

Keyword Spotting System using Low-complexity Feature Extraction and Quantized LSTM

Kévin Hérissé, Benoit Larras, Antoine Frappé, Andreas Kaiser

Long Short-Term Memory (LSTM) neural networks offer state-of-the-art results to compute sequential data and address applications like keyword spotting. Mel Frequency Cepstral Coefficients (MFCC) are the most common features used to train this neural network model. However, the complexity of MFCC...

28th IEEE International Conference on Electronics Circuits and Systems, ICECS 2021, Nov 2021, Dubai, United Arab Emirates. ⟨10.1109/ICECS53924.2021.9665486⟩. ⟨hal-03515704⟩

  • Communication dans un congrès

Design of biomimetic coatings to mitigate dairy fouling

Manon Saget, Sawsen Zouaghi, Luisa Azevedo-Scudeller, Flavie Braud, Guillaume Delaplace, V. Thomy, Yannick Coffinier, Maude Mermillon Jimenez

7th Intl. Symp. on Sustainable Surface and Interface Engineering: Coatings for Extreme Environments, Nov 2021, Phuket, Thailand. ⟨hal-03664552⟩

  • Communication dans un congrès

Alzheimer’s Dementia Detection Using Acoustic & Linguistic Features and Pre-trained BERT

Akshay Valsaraj, Ithihas Madala, Nikhil Garg, Veeky Baths

Alzheimer’s disease is a fatal progressive brain disorder that worsens with time. It is high time we have inexpensive and quick clinical diagnostic techniques for early detection and care. In previous studies, various Machine Learning techniques and Pre-trained Deep Learning models have been used...

2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), Nov 2021, Cario, Egypt. pp.171-175, ⟨10.1109/ISCMI53840.2021.9654804⟩. ⟨hal-03666188⟩