Publications associées à Appareil mobile

A Multimodal Dataset for Automatic Edge-AI Cough Detection

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic, Jérôme Paul Rémy Thevenot

Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. Automatic cough counting tools must provide accurate information, while runnin ...

2023

Towards real-time digital twins for post-earthquake damage assessment of masonry buildings

Katrin Beyer, Radhakrishna Achanta, Bryan German Pantoja Rosero

Currently, post-earthquake assessment is performed visually, which implies that inspectors visit the damaged buildings and, based on their expertise, assign a damage grade. Yet, visual inspection is subjective, time-consuming and difficult to document. In ...

2023

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Machine learning models trained with passive sensor data from mobile devices can be used to perform various inferences pertaining to activity recognition, context awareness, and health and well-being. Prior work has improved inference performance through t ...

New York2023

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Anastasia Ailamaki, Periklis Chrysogelos, Hamish Mcniece Hill Nicholson, Syed Mohammad Aunn Raza

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

2023

Repeated Human Exposure to Semivolatile Organic Compounds by Inhalation: Novel Protocol for a Nonrandomized Study

Florian Frédéric Vincent Breider, Dominique Grandjean, Guillaume Suarez, Myriam Borgatta

Background: Semivolatile organic compounds (SVOCs) comprise several different chemical families used mainly as additives in many everyday products. SVOCs can be released into the air as aerosols and deposit on particulate matter during use by dispersion, e ...

2023

Federated Linear Bandit Learning via Over-the-air Computation

Yuning Jiang, Xin Liu, Ting Wang

In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the environment, selects an action based on the received reward, and sends model upd ...

IEEE2023

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots

Giulia Tagliabue, Matteo Bevione

In situ energy generation in soft, flexible, autonomous devices is challenging due to the need for highly stretchable and fault-resistant components. Nanofluids with pyro-, tribo-, or thermoelectric properties have recently emerged as promising solutions f ...

Washington2023

Effects of Head-Tracking Artefacts on Externalization and Localization in Azimuth With Binaural Wearable Devices

Hervé Lissek, Gilles André Courtois, Vincent Pierre Olivier Grimaldi

Head tracking combined with head movements have been shown to improve auditory externalization of a virtual sound source and contribute to the performance in localization. With certain technically constrained head-tracking algorithms, as can be found in we ...

New York2023

Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning

Katrin Beyer, Yves Weinand, Julien Gamerro, Savvas Saloustros, Andrea Settimi, Andrea Cabriada Ascencio

Research on irregular stone masonry walls is hampered by the lack of detailed geometrical models of their internal micro-structure, i.e. the shape and size of each stone and its position within the wall. Without such a geometric digital twin of walls teste ...

2023

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Appareil mobile

A Multimodal Dataset for Automatic Edge-AI Cough Detection

Towards real-time digital twins for post-earthquake damage assessment of masonry buildings

Device and system as human interactive surface

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Repeated Human Exposure to Semivolatile Organic Compounds by Inhalation: Novel Protocol for a Nonrandomized Study

Federated Linear Bandit Learning via Over-the-air Computation

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots

Effects of Head-Tracking Artefacts on Externalization and Localization in Azimuth With Binaural Wearable Devices

Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning

Graph Chatbot

Chattez avec Graph Search

Repeated Human Exposure to Semivolatile Organic Compounds by Inhalation: Novel Protocol for a Nonrandomized Study

Federated Linear Bandit Learning via Over-the-air Computation

A Multimodal Dataset for Automatic Edge-AI Cough Detection

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Towards real-time digital twins for post-earthquake damage assessment of masonry buildings

Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Device and system as human interactive surface

Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots

Effects of Head-Tracking Artefacts on Externalization and Localization in Azimuth With Binaural Wearable Devices