Zobrazeno 1 - 10
of 1 902
pro vyhledávání: '"P. Talbi"'
Autor:
Felten, Florian, Ucak, Umut, Azmani, Hicham, Peng, Gao, Röpke, Willem, Baier, Hendrik, Mannion, Patrick, Roijers, Diederik M., Terry, Jordan K., Talbi, El-Ghazali, Danoy, Grégoire, Nowé, Ann, Rădulescu, Roxana
Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting objectives and coordinate the actions of various independent decision-makers
Externí odkaz:
http://arxiv.org/abs/2407.16312
In order to investigate whether the radical pair mechanism (RPM) can explain the effects of telecommunication frequency radiation on reactive oxygen species production, we modelled the effects of oscillating magnetic fields on radical pair systems. O
Externí odkaz:
http://arxiv.org/abs/2407.03358
Autor:
Kashinski, D. O., Talbi, D., Hickman, A. P., Di Nallo, O. E., Colboc, F., Chakrabarti, K., Schneider, I. F., Mezei, J. Zs
Publikováno v:
J. Chem. Phys. 146, 204109 (2017)
A quantitative theoretical study of the dissociative recombination of SH$^+$ with electrons has been carried out. Multireference, configuration interaction calculations were used to determine accurate potential energy curves for SH$^+$ and SH. The bl
Externí odkaz:
http://arxiv.org/abs/2405.20147
Spiking Neural Networks (SNN). SNNs are based on a more biologically inspired approach than usual artificial neural networks. Such models are characterized by complex dynamics between neurons and spikes. These are very sensitive to the hyperparameter
Externí odkaz:
http://arxiv.org/abs/2403.00450
Recent advancements in Artificial Intelligence (AI), driven by Neural Networks (NN), demand innovative neural architecture designs, particularly within the constrained environments of Internet of Things (IoT) systems, to balance performance and effic
Externí odkaz:
http://arxiv.org/abs/2402.13204
Autor:
Talbi, El-Ghazali
Many real world optimization problems are formulated as mixed-variable optimization problems (MVOPs) which involve both continuous and discrete variables. MVOPs including dimensional variables are characterized by a variable-size search space. Depend
Externí odkaz:
http://arxiv.org/abs/2401.03880
Multi-objective reinforcement learning (MORL) extends traditional RL by seeking policies making different compromises among conflicting objectives. The recent surge of interest in MORL has led to diverse studies and solving methods, often drawing fro
Externí odkaz:
http://arxiv.org/abs/2311.12495
Reinforcement learning (RL) has emerged as a powerful approach for tackling complex problems. The recent introduction of multi-objective reinforcement learning (MORL) has further expanded the scope of RL by enabling agents to make trade-offs among mu
Externí odkaz:
http://arxiv.org/abs/2310.16487
Autor:
Arnoult, T., Acher, G., Nowinski, V., Vuillemin, P., Briat, C., Pernod, P., Ghouila-Houri, C., Talbi, A., Garnier, E., Poussot-Vassal, C.
Flow control aims at modifying a natural flow state to reach an other flow state considered as advantageous. In this paper, active feedback flow separation control is investigated with two different closed-loop control strategies, involving a referen
Externí odkaz:
http://arxiv.org/abs/2309.12160
Autor:
Possamaï, Dylan, Talbi, Mehdi
We are interested in the study of stochastic games for which each player faces an optimal stopping problem. In our setting, the players may interact through the criterion to optimise as well as through their dynamics. After briefly discussing the N-p
Externí odkaz:
http://arxiv.org/abs/2307.09278