Zobrazeno 1 - 10
of 3 995
pro vyhledávání: '"Triguero, A."'
Autor:
Poyatos, Javier, Del Ser, Javier, Garcia, Salvador, Ishibuchi, Hisao, Molina, Daniel, Triguero, Isaac, Xue, Bing, Yao, Xin, Herrera, Francisco
In Artificial Intelligence, there is an increasing demand for adaptive models capable of dealing with a diverse spectrum of learning tasks, surpassing the limitations of systems devised to cope with a single task. The recent emergence of General-Purp
Externí odkaz:
http://arxiv.org/abs/2407.08745
Separating C6 cyclic hydrocarbons, specifically benzene and cyclohexane, presents a significant industrial challenge due to their similar physicochemical properties. We conducted Monte Carlo simulations in the Grand-Canonical ensemble to acquire adso
Externí odkaz:
http://arxiv.org/abs/2402.04402
Autor:
Rezaie, Shima, Luna-Triguero, Azahara
Identifying a nanostructure suitable for hydrogen storage presents a promising avenue for the secure and cost-effective utilization of hydrogen as a green energy source. This study introduces a systematic approach for selecting optimal doping on poro
Externí odkaz:
http://arxiv.org/abs/2312.04285
Autor:
Pekaslan, Direnc, Alonso-Moral, Jose Maria, Bandara, Kasun, Bergmeir, Christoph, Bernabe-Moreno, Juan, Eigenmann, Robert, Einecke, Nils, Ergen, Selvi, Godahewa, Rakshitha, Hewamalage, Hansika, Lago, Jesus, Limmer, Steffen, Rebhan, Sven, Rabinovich, Boris, Rajapasksha, Dilini, Song, Heda, Wagner, Christian, Wu, Wenlong, Magdalena, Luis, Triguero, Isaac
This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Tec
Externí odkaz:
http://arxiv.org/abs/2311.04007
In this paper, we introduce a novel, adapted approach for computing gas adsorption properties in porous materials. We analyze the Dubinin-Polanyi's adsorption model and investigate various frameworks to estimate its required essential components. Tho
Externí odkaz:
http://arxiv.org/abs/2310.15885
Autor:
Vicent-Luna, J. M., Luna-Triguero, A.
The adsorption of fluorocarbons has gained significant importance as its use as refrigerants in energy storage applications. In this context, the adsorption behavior of two low global warming potential refrigerants, R125 fluorocarbon and its hydrocar
Externí odkaz:
http://arxiv.org/abs/2309.01777
The building climate industry and its influence on energy consumption have consequences on the environment due to the emission of greenhouse gasses. Improving the efficiency of this sector is essential to reduce the effect on climate change. In recen
Externí odkaz:
http://arxiv.org/abs/2309.01517
Publikováno v:
AAPS Open, Vol 10, Iss 1, Pp 1-5 (2024)
Externí odkaz:
https://doaj.org/article/89fcfdd2d9494c0d8ed8b8445840ded8
Publikováno v:
Information Fusion, Volume 103, March 2024, 102135
Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solving a wide array of tasks without being specifically designed for them.
Externí odkaz:
http://arxiv.org/abs/2307.14283
Intelligent Transportation Systems are producing tons of hardly manageable traffic data, which motivates the use of Machine Learning (ML) for data-driven applications, such as Traffic Forecasting (TF). TF is gaining relevance due to its ability to mi
Externí odkaz:
http://arxiv.org/abs/2303.10732