Zobrazeno 1 - 10
of 14 249
pro vyhledávání: '"Marinescu, A."'
The water circulation in the Soil-Plant-Atmosphere continuum and particularly the soil erosion induced by water are problems of main concern in the new era of climate change. The present paper aims to provide a mathematical tool to investigate the wa
Externí odkaz:
http://arxiv.org/abs/2408.12465
Autor:
Marinescu, Marius
Kriging and Gaussian Process Regression are statistical methods that allow predicting the outcome of a random process or a random field by using a sample of correlated observations. In other words, the random process or random field is partially obse
Externí odkaz:
http://arxiv.org/abs/2408.02331
In this survey, we review the many faces of the Hornich-Hlawka inequality. Several open problems that seem of utmost interest are mentioned.
Comment: 17 pages
Comment: 17 pages
Externí odkaz:
http://arxiv.org/abs/2407.03278
We prove that the Fubini-Study currents associated to a sequence of singular Hermitian holomorphic line bundles on a compact normal Moishezon space distribute asymptotically as the curvature currents of their metrics.
Comment: 10 pages
Comment: 10 pages
Externí odkaz:
http://arxiv.org/abs/2407.03193
The paper presents ASTERIX, an open source software for numerical integration of an extended Saint-Venant system of equations used as a mathematical tool to model the water flow from laboratory up to large-scale spatial domains applying physically-ba
Externí odkaz:
http://arxiv.org/abs/2406.14933
The anti-windup compensation typically addresses strict control limitations in control systems. However, there is a clear need for an equivalent solution for the states/outputs of the system. This paper introduces a novel methodology for the state an
Externí odkaz:
http://arxiv.org/abs/2406.13374
Autor:
Hou, Yufang, Pascale, Alessandra, Carnerero-Cano, Javier, Tchrakian, Tigran, Marinescu, Radu, Daly, Elizabeth, Padhi, Inkit, Sattigeri, Prasanna
Retrieval-augmented generation (RAG) has emerged as a promising solution to mitigate the limitations of large language models (LLMs), such as hallucinations and outdated information. However, it remains unclear how LLMs handle knowledge conflicts ari
Externí odkaz:
http://arxiv.org/abs/2406.13805
We present AFEN (Audio Feature Ensemble Learning), a model that leverages Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to perform state-of-the-art audio classification for a range of respiratory diseases. We use a m
Externí odkaz:
http://arxiv.org/abs/2405.05467
We use the theory of abstract Wiener spaces to construct a probabilistic model for Berezin-Toeplitz quantization on a complete Hermitian complex manifold endowed with a positive line bundle. We associate to a function with compact support (a classica
Externí odkaz:
http://arxiv.org/abs/2404.15983
Reconstructing digital brain phantoms in the form of voxel-based, multi-channeled tissue probability maps for individual subjects is essential for capturing brain anatomical variability, understanding neurological diseases, as well as for testing ima
Externí odkaz:
http://arxiv.org/abs/2404.14739