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Publications

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

Affichage des publications 251 à 260 sur 1520 au total

Engineering Sciences

Resilient math inspired EDA optimized fuzzy adaptive exponent controller for LFC improvement of an EV integrated microgrid

Abstract This study aims to stabilize the frequency of an electric vehicle-integrated AC microgrid in different electrical uncertainties. The recommended microgrid is built by incorporating different distributed generation (DG) oriented power plants…

Prakash Chandra Sahu, Buddhadeva Sahoo, Sarat Chandra Swain, Ghanshyam Tejani, David Bassir

Scientific Reports -

Sensory Organs

Fluctuations in angle lambda with the pupil diameter and correlations with biometric values in a healthy population

The anatomical and dynamic description of the eyeball provided by physiological optics relies on several angles formed by the intersection of a number of axes. 1 Some definitions lack consensus, and variations are encountered in the literature. 2…

Maxence Rateaux, Alienor Vienne-Jumeau, Dominique Bremond-Gignac, Matthieu P Robert

Ophthalmic & Physiological Optics -

Probability

A Unifying Framework for Global Optimization: From Theory to Formalization

We introduce an abstract measure‑theoretic framework that serves as a tool to rigorously study stochastic iterative global optimization algorithms as a unified class. The framework is formulated in terms of probability kernels, which, via the…

Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

Mathematics

Deep Generative Methods and Tire Architecture Design

As deep generative models proliferate across the AI landscape, industrial practitioners still face critical yet unanswered questions about which deep generative models best suit complex manufacturing design tasks. This work addresses this question…

Fouad Oubari, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot

Mathematics

Multi-Component VAE with Gaussian Markov Random Field

Multi-component datasets with intricate dependencies, like industrial assemblies or multi-modal imaging, challenge current generative modeling techniques. Existing Multi-component Variational AutoEncoders typically rely on simplified aggregation…

Fouad Oubari, Mohamed El-Baha, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot

Computer Science

Time Series Motif Discovery: A Comprehensive Evaluation

Motif Discovery involves identifying recurring patterns and locating their occurrences within a time series without prior knowledge about their shape or location. In practice, Motif Discovery faces several data-related challenges, leading to various…

Valerio Guerrini, Thibaut Germain, Charles Truong, Laurent Oudre, Paul Boniol

Proceedings of the VLDB Endowment (PVLDB) -