Zobrazeno 1 - 10
of 7 098
pro vyhledávání: '"Laroche, P"'
Speech Enhancement (SE) is essential for improving productivity in remote collaborative environments. Although deep learning models are highly effective at SE, their computational demands make them impractical for embedded systems. Furthermore, acous
Externí odkaz:
http://arxiv.org/abs/2412.17121
Lifting during manual material handling is a major cause of low-back pain (LBP). As an important risk factor that directly influences the risk of LBP, the Load vertical location (LVL) during lifting needs to be measured and controlled. However, exist
Externí odkaz:
http://arxiv.org/abs/2411.16097
Autor:
Kosovari, Melissa, Buffeteau, Thierry, Thomas, Laurent, Bégin, Andrée-Anne Guay, Vellutini, Luc, Mcgettrick, James, Laroche, Gaétan, Durrieu, Marie-Christine
Publikováno v:
ACS Applied Materials & Interfaces, 2024, 16 (23), pp. 29770-29782
Biomaterial surface engineering and integrating cell-adhesive ligands are crucial in biological research and biotechnological applications. The interplay between cells and their microenvironment, influenced by chemical and physical cues, impacts cell
Externí odkaz:
http://arxiv.org/abs/2411.12332
Autor:
Zheng, Mingyang, Makaju, Rebika, Gazizulin, Rasul, Levchenko, Alex, Addamane, Sadhvikas J., Laroche, Dominique
One-dimensional Coulomb drag has been an essential tool to probe the physics of interacting Tomonaga-Luttinger liquids. To date, most experimental work has focused on the linear regime while the predictions for Luttinger liquids beyond the linear res
Externí odkaz:
http://arxiv.org/abs/2410.17569
Coulomb drag is a powerful tool to study interactions in coupled low-dimensional systems. Historically, Coulomb drag has been attributed to a frictional force arising from momentum transfer whose direction is dictated by the current flow. However rec
Externí odkaz:
http://arxiv.org/abs/2408.12737
Publikováno v:
Proceedings of Interspeech 2024
As speech processing systems in mobile and edge devices become more commonplace, the demand for unintrusive speech quality monitoring increases. Deep learning methods provide high-quality estimates of objective and subjective speech quality metrics.
Externí odkaz:
http://arxiv.org/abs/2407.04578
Autor:
Laroche, Alexander, Speagle, Joshua S.
Data-driven models for stellar spectra which depend on stellar labels suffer from label systematics which decrease model performance: the "stellar labels gap". To close the stellar labels gap, we present a stellar label independent model for $\textit
Externí odkaz:
http://arxiv.org/abs/2404.07316
Autor:
Miccini, Riccardo, Cerioli, Alessandro, Laroche, Clément, Piechowiak, Tobias, Sparsø, Jens, Pezzarossa, Luca
Despite the recent advances in model compression techniques for deep neural networks, deploying such models on ultra-low-power embedded devices still proves challenging. In particular, quantization schemes for Gated Recurrent Units (GRU) are difficul
Externí odkaz:
http://arxiv.org/abs/2402.12263
Publikováno v:
BMC Neuroscience, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Creativity is a key skill for the twenty-first century, where the individual and collective imperative to adapt is omnipresent. Yet, it is still unclear how to put creativity theories into practice, which signals a lacuna in our understandin
Externí odkaz:
https://doaj.org/article/7b28b5b7d22448acb09bb34b8e6de4de
Autor:
Anass Benomar, MD, MSc, Abdelhakim Khellaf, MD, Lynda Kadi, MD, José Ferreira, MD, Pascal Lavergne, MD, François Bergeron, MD, Mathieu Laroche, MD, MSc
Publikováno v:
Radiology Case Reports, Vol 19, Iss 11, Pp 4751-4754 (2024)
Ependymomas are rare nervous system tumors that can arise anywhere in the neuraxis. While having a high propensity for leptomeningeal dissemination, retrograde dissemination (from the spine to the CNS) remains infrequent. We describe the case of a 31
Externí odkaz:
https://doaj.org/article/5bd16e7f11a94acbaf0ae4444c4d2104