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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 191 à 200 sur 1520 au total

Life Sciences

Psychosocial work factors as mediators in the associations of organisational changes with poor psychological well-being: a prospective study using the national French working conditions survey

Background Information is lacking on the effects of organisational changes on mental health and on the underlying mechanisms. The objectives of this prospective study were to explore the associations between organisational changes, psychosocial work…

Isabelle Niedhammer, Maël Quatrevaux, Sandrine Bertrais

BMC Public Health -

Life Sciences

Mapping the coupling between tract reachability and cortical geometry of the human brain

The study of cortical geometry and connectivity is prevalent in human brain research. However, these two aspects of brain structure are usually examined separately, leaving the essential connections between the brain’s folding patterns and white…

Deying Li, Andrew Zalesky, Yufan Wang, Haiyan Wang, Liang Ma, Luqi Cheng, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Rüdiger Brühl, Sylvane Desrivières, Herta Flor, Hugh Garavan, Penny Gowland, Antoine Grigis, Andreas Heinz, Hervé Lemaître, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Tianye Jia, Congying Chu, Lingzhong Fan

Nature Communications -

Image Processing

Noise, Compression and Resampling in Image and Video Forensics

The invention of digital cameras and the development of editing software have made it incredibly easy to manipulate images and videos. The emergence of deep generative models has further facilitated the manipulations with higher realism. To…

Yanhao Li

Signal and Image processing

Covariance Change Point Detection for Graph Signals

We propose a new approach for covariance change point detection applied to graph signals. Specifically, our method draws on the notion of graph stationarity to derive a relevant parameterization of the covariance matrix that can be used in a cost…

Even Matencio, Charles Truong, Laurent Oudre

2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025) -

General Mathematics

Machine-learning enhanced predictors for accelerated convergence of partitioned fluid-structure interaction simulations

Stable partitioned techniques for simulating unsteady fluid-structure interaction (FSI) are known to be computationally expensive when high added-mass is involved. Multiple coupling strategies have been developed to accelerate these simulations, but…

Azzeddine Tiba, Thibault Dairay, Florian de Vuyst, Iraj Mortazavi, Juan Pedro Berro Ramirez

Computer Physics Communications -

Life Sciences

MultiEpilepsyNet: An EEG and MRI data based multimodal seizure detection model using hybrid deep learning model

Epilepsy is a critical neurological disorder that requires accurate and privacy-preserving diagnostic solutions to enable early detection and effective management. However, existing approaches face key challenges, including reliance on centralized…

Mohd Abdul Rahim Khan, Nasser Ali Aljarallah, Ashit Kumar Dutta, Shtwai Alsubai, Seyed Jalaleddin Mousavirad, Sunil Kumar Sharma, Ghanshyam Tejani, David Bassir

Brain Research Bulletin -

Engineering Sciences

Advanced Control Engineering for Frequency Stability in Quartz Oscillators

Quartz oscillators have been central to frequency control for decades, providing stability and precision in both ground and space applications. With the increasing demand for ultra-high stability, advanced control science engineering has become…

Patrice Salzenstein, David Bassir, Frédéric Lefebvre

2025 3rd International Conference on Artificial Intelligence and Automation Control (AIAC) -