Zobrazeno 1 - 10
of 22 408
pro vyhledávání: '"Muriel, P."'
We establish that it is possible to extract accurate blockwise and bitwise soft output from Guessing Codeword Decoding with minimal additional computational complexity by considering it as a variant of Guessing Random Additive Noise Decoding. Blockwi
Externí odkaz:
http://arxiv.org/abs/2406.11782
Publikováno v:
Journal of Public Economics, Volume 235, 105137, July 2024
We use regression discontinuity design and difference-in-differences methods to estimate the impact of a one-time hiring subsidy for low-educated unemployed youths in Belgium during the recovery from the Great Recession. Within a year of unemployment
Externí odkaz:
http://arxiv.org/abs/2406.08357
Head and Neck Cancers (HNC) significantly impact patients' ability to speak, affecting their quality of life. Commonly used metrics for assessing pathological speech are subjective, prompting the need for automated and unbiased evaluation methods. Th
Externí odkaz:
http://arxiv.org/abs/2406.07576
Autor:
Livernet, Muriel, Whitehouse, Sarah
We study homotopy theory of the category of spectral sequences with respect to the class of weak equivalences given by maps which are quasi-isomorphisms on a fixed page. We introduce the category of extended spectral sequences and show that this is b
Externí odkaz:
http://arxiv.org/abs/2406.02777
In this work, we introduce a new technique for taking a single-secret sharing scheme with a general access structure and transforming it into an individually secure multi-secret sharing scheme where every secret has the same general access structure.
Externí odkaz:
http://arxiv.org/abs/2405.06773
Autor:
Woo, Jongchan, Vasudevan, Vipindev Adat, Kim, Benjamin D., D'Oliveira, Rafael G. L., Cohen, Alejandro, Stahlbuhk, Thomas, Duffy, Ken R., Médard, Muriel
The Internet of Things (IoT) represents a significant advancement in digital technology, with its rapidly growing network of interconnected devices. This expansion, however, brings forth critical challenges in data security and reliability, especiall
Externí odkaz:
http://arxiv.org/abs/2405.05107
Quantifying cyber risks is essential for organizations to grasp their vulnerability to threats and make informed decisions. However, current approaches still need to work on blending economic viewpoints to provide insightful analysis. To bridge this
Externí odkaz:
http://arxiv.org/abs/2405.03513
Autor:
Esfahanizadeh, Homa, Vasudevan, Vipindev Adat, Kim, Benjamin D., Siva, Shruti, Kim, Jennifer, Cohen, Alejandro, Médard, Muriel
Network slicing has emerged as an integral concept in 5G, aiming to partition the physical network infrastructure into isolated slices, customized for specific applications. We theoretically formulate the key performance metrics of an application, in
Externí odkaz:
http://arxiv.org/abs/2404.17686
Autor:
Lepère, Muriel, Browet, Olivier, Clément, Jean, Vispoel, Bastien, Allmendinger, Pitt, Hayden, Jakob, Eigenmann, Florian, Hugi, Andreas, Mangold, Markus
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 287, 108239 (2022)
To meet the challenges of high-resolution molecular spectroscopy, increasingly sophisticated spectroscopic techniques were developed. For a long time FTIR and laser-based spectroscopies were used for these studies. The recent development of dual-comb
Externí odkaz:
http://arxiv.org/abs/2403.02720
Threat modeling has emerged as a key process for understanding relevant threats within businesses. However, understanding the importance of threat events is rarely driven by the business incorporating the system. Furthermore, prioritization of threat
Externí odkaz:
http://arxiv.org/abs/2402.14140