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Affichage des publications 611 à 620 sur 1099 au total

Cognitive science

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

Nowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid…

Ioannis Bargiotas, Danping Wang, Juan Mantilla, Flavien Quijoux, Albane Moreau, Catherine Vidal, Remi Barrois, Alice Nicolai, Julien Audiffren, Christophe Labourdette, François Bertin‐hugaul, Laurent Oudre, Stephane Buffat, Alain Yelnik, Damien Ricard, Nicolas Vayatis, Pierre-Paul Vidal

Journal of Neurology -

Signal and Image processing

Phase Unwrapping using a Joint CNN and SQD-LSTM Network

Phase unwrapping techniques are used in various applications, including Synthetic Aperture Radar (SAR) interferometry (InSAR). Deep learning methods have been recently proposed to tackle this problem. This work aims at explaining and evaluating the…

Roland Akiki, Carlo de Franchis, Gabriele Facciolo, Jean-Michel Morel, Raphaël Grandin

Image Processing On Line -

Multiagent Systems

Lost Manuscripts and Extinct Texts : A Dynamic Model of Cultural Transmission

How did written works evolve, disappear or survive down through the ages? In this paper, we propose a unified, formal framework for two fundamental questions in the study of the transmission of texts: how much was lost or preserved from all works of…

Jean-Baptiste Camps, Julien Randon-Furling

CHR 2022: Computational Humanities Research Conference -

Business administration

A survey on machine learning methods for churn prediction

The diversity and specificities of today's businesses have leveraged a wide range of prediction techniques. In particular, churn prediction is a major economic concern for many companies. The purpose of this study is to draw general guidelines from…

Louis Geiler, Séverine Affeldt, Mohamed Nadif

International Journal of Data Science and Analytics -

Cognitive science

La télépsychologie en France depuis le COVID-19: La formation comme facteur clé de la pratique de la télépsychologie et la satisfaction des psychologues dans les consultations en ligne

Psychologue, Università cattolica del Sacro Cuore di Milano, Italie, Ordre des psychologues de Lombardie (opl). La télépsychologie a été définie par l’apa en 2013 comme « la prestation de services psychologiques à l’aide de technologies de…

Lise Haddouk, Carine Milcent, Sara Gabri

Télépsychologie : état des lieux et enjeux. -

Life Sciences

Receptor Tyrosine Kinase KIT: A New Look for an Old Receptor

RTK KIT regulates a variety of crucial cellular processes via its cytoplasmic (CD) domain composed of the tyrosine kinase domain crowned by highly flexible domains-juxtamembrane region, kinase insert domain and C-tail, key recruitment regions for…

Julie Ledoux, Luba Tchertanov

Bioinformatics and Biomedical Engineering 2022 -

Life Sciences

Human Vitamin K Epoxide Reductase as a Target of Its Redox Protein

Human vitamin K epoxide reductase (hVKORC1) enzymatic activity requires an initial activation by a specific redox protein, a less studied step in the hVKORC1 vital cycle. Significant steric conditions must be met by enzymes, being that to adapt…

Julie Ledoux, Maxim Stolyarchuk, Enki Bachelier, Alain Trouvé, Luba Tchertanov

International Journal of Molecular Sciences -