Zobrazeno 1 - 10
of 5 258
pro vyhledávání: '"Coello P"'
Autor:
Osaba, Eneko, Villar-Rodriguez, Esther, Del Ser, Javier, Nebro, Antonio J., Molina, Daniel, LaTorre, Antonio, Suganthan, Ponnuthurai N., Coello, Carlos A. Coello, Herrera, Francisco
Publikováno v:
Swarm and Evolutionary Computation, vol. 64, p. 100888, Jul. 2021
In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In spite of decades of historical advancements on the design an
Externí odkaz:
http://arxiv.org/abs/2410.03205
The procedure for simulating the nuclear magnetic resonance spectrum linked to the spin system of a molecule for a certain nucleus entails diagonalizing the associated Hamiltonian matrix. As the dimensions of said matrix grow exponentially with respe
Externí odkaz:
http://arxiv.org/abs/2410.20836
Publikováno v:
2024 14th International Conference on Pattern Recognition Systems (ICPRS)
This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed that integrates images from the visible spectrum and 660 nm spectral
Externí odkaz:
http://arxiv.org/abs/2410.19784
Autor:
Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyana C., Lietz, Justin G., Georgiadou, Antigoni, Pérez, Eduardo Antonio Coello
The development of quantum processors capable of handling practical fluid flow problems represents a distant yet promising frontier. Recent strides in quantum algorithms, particularly linear solvers, have illuminated the path toward quantum solutions
Externí odkaz:
http://arxiv.org/abs/2409.10857
In this work we introduce the broken line construction, which is a geometric and combinatorial algorithm that computes periodic Sturmian angles of a given period, yielding the locations of their landing parameters in the Mandelbrot set. An easy to im
Externí odkaz:
http://arxiv.org/abs/2409.07636
Autor:
Beck, Thomas, Baroni, Alessandro, Bennink, Ryan, Buchs, Gilles, Perez, Eduardo Antonio Coello, Eisenbach, Markus, da Silva, Rafael Ferreira, Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyan, Groszkowski, Peter, Humble, Travis S., Landfield, Ryan, Maheshwari, Ketan, Oral, Sarp, Sandoval, Michael A., Shehata, Amir, Suh, In-Saeng, Zimmer, Christopher
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges due to the noisy intermediate-scale quantum era's inherent ext
Externí odkaz:
http://arxiv.org/abs/2408.16159
Autor:
Coello, Fernando, Decorte, Thomas, Janssens, Iris, Mortier, Steven, Sardans, Jordi, Peñuelas, Josep, Verdonck, Tim
As global fertilizer application rates increase, high-quality datasets are paramount for comprehensive analyses to support informed decision-making and policy formulation in crucial areas such as food security or climate change. This study aims to fi
Externí odkaz:
http://arxiv.org/abs/2406.10001
Autor:
Hou, Yaqing, Ma, Wenqiang, Gupta, Abhishek, Bali, Kavitesh Kumar, Ge, Hongwei, Zhang, Qiang, Coello, Carlos A. Coello, Ong, Yew-Soon
In recent years, the field of Transfer Evolutionary Optimization (TrEO) has witnessed substantial growth, fueled by the realization of its profound impact on solving complex problems. Numerous algorithms have emerged to address the challenges posed b
Externí odkaz:
http://arxiv.org/abs/2404.13377
Using molecular simulation and continuum dielectric theory, we consider how electrochemical kinetics are modulated as a function of twist angle in bilayer graphene electrodes. By establishing an effective connection between twist angle and the screen
Externí odkaz:
http://arxiv.org/abs/2405.00783
Autor:
Bartels, Christian, Scauda, Martina, Coello, Neva, Dumortier, Thomas, Bornkamp, Bjoern, Moffa, Giusi
Non-linear mixed effects modeling and simulation (NLME M&S) is evaluated to be used for standardization with longitudinal data in presence of confounders. Standardization is a well-known method in causal inference to correct for confounding by analyz
Externí odkaz:
http://arxiv.org/abs/2404.19325