Zobrazeno 1 - 10
of 17 709
pro vyhledávání: '"A. Keïta"'
Autor:
L. Bonifait, H. Marfaing, A. Leroux, H. Jaunet, R. Pierre, S. Quesne, Eric Pagot, L. Baugé, A. Keita, M. Chemaly, M. Guyard-Nicodème
Publikováno v:
Poultry Science, Vol 101, Iss 9, Pp 101994- (2022)
Poultry is generally recognized as the main source of human campylobacteriosis and Campylobacter is highly prevalent at the farm level. To reduce the relative risk of human campylobacteriosis attributable to broiler meat, it is necessary to reduce Ca
Externí odkaz:
https://doaj.org/article/8d0639d106d84dd18237e33eb242352e
The equilibrium selection problem in the generalized Nash equilibrium problem (GNEP) has recently been studied as an optimization problem, defined over the set of all variational equilibria achievable first through a non-cooperative game among player
Externí odkaz:
http://arxiv.org/abs/2409.11094
Autor:
Kume, Keita, Yamada, Isao
We propose a proximal variable smoothing algorithm for nonsmooth optimization problem with sum of three functions involving weakly convex composite function. The proposed algorithm is designed as a time-varying forward-backward splitting algorithm wi
Externí odkaz:
http://arxiv.org/abs/2409.10934
Autor:
Beaver, Nicholas, Dive, Aniruddha, Wong, Marina, Shimanuki, Keita, Patil, Ananya, Ferrell, Anthony, Kivy, Mohsen B.
In an effort to develop a rapid, reliable, and cost-effective method for predicting the structure of single-phase high entropy alloys, a Graph Neural Network (ALIGNN-FF) based approach was introduced. This method was successfully tested on 132 differ
Externí odkaz:
http://arxiv.org/abs/2409.07664
Autor:
Li, Yuanhao, Chen, Badong, Hu, Zhongxu, Suzuki, Keita, Bai, Wenjun, Koike, Yasuharu, Yamashita, Okito
Bayesian learning provides a unified skeleton to solve the electrophysiological source imaging task. From this perspective, existing source imaging algorithms utilize the Gaussian assumption for the observation noise to build the likelihood function
Externí odkaz:
http://arxiv.org/abs/2408.14843
Autor:
Keita, Mamadou, Hamidouche, Wassim, Eutamene, Hessen Bougueffa, Taleb-Ahmed, Abdelmalik, Hadid, Abdenour
We introduce FIDAVL: Fake Image Detection and Attribution using a Vision-Language Model. FIDAVL is a novel and efficient mul-titask approach inspired by the synergies between vision and language processing. Leveraging the benefits of zero-shot learni
Externí odkaz:
http://arxiv.org/abs/2409.03109
Autor:
Hayashi, Keita, Niidome, Yoshiaki, Shiga, Tamehito, Yu, Boda, Nakagawa, Yasuto, Janas, Dawid, Fujigaya, Tsuyohiko, Shiraki, Tomohiro
Publikováno v:
Chem. Commun., 2022, 58, 11422-11425
Azide functionalization produced luminescent sp2-type defects on single-walled carbon nanotubes, by which defect photoluminescence appeared in near infrared regions (1116 nm). Changes in exciton properties were induced by localization effects at the
Externí odkaz:
http://arxiv.org/abs/2408.10644
Autor:
Arai, Hidehisa, Miwa, Keita, Sasaki, Kento, Yamaguchi, Yu, Watanabe, Kohei, Aoki, Shunsuke, Yamamoto, Issei
Autonomous driving, particularly navigating complex and unanticipated scenarios, demands sophisticated reasoning and planning capabilities. While Multi-modal Large Language Models (MLLMs) offer a promising avenue for this, their use has been largely
Externí odkaz:
http://arxiv.org/abs/2408.10845
The network data has attracted considerable attention in modern statistics. In research on complex network data, one key issue is finding its underlying connection structure given a network sample. The methods that have been proposed in literature us
Externí odkaz:
http://arxiv.org/abs/2408.04213
Brillouin optical correlation-domain reflectometry (BOCDR) is unique in its ability to measure distributed strain and temperature changes along a fiber under test (FUT) from a single end, offering random access and relatively high spatial resolution,
Externí odkaz:
http://arxiv.org/abs/2407.15398