Listar Investigación y Desarrollo por título
Mostrando ítems 31-50 de 5699
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Article
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Article
A 2-level metaheuristic for the set covering problem (2020)
(Agora University, 2012) -
Conference Paper
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Conference Paper
A beam-search approach to the set covering problem (2020)
(Springer Verlag, 2016) -
Article
A before-school physical activity intervention to improve cognitive parameters in children: The Active-Start study (2020)
(Blackwell Munksgaard, 2020) -
Article
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Conference Paper
A Better Understanding of the Behaviour of Metaheuristics: A Psychological View (2020)
(Springer Verlag, 2014) -
Conference Paper
A bi-objetive Cat Swarm Optimization algorithm for set covering problem (2020)
(Springer Verlag, 2016) -
Article
A bicriteria approach identifying nondominated portfolios (2020)
(Hindawi Publishing Corporation, 2014) -
Article
A Binary Cat Swarm Optimization Algorithm for the Non-Unicost Set Covering Problem (2020)
(Hindawi Limited, 2015) -
Article
A binary coded firefly algorithm that solves the set covering problem (2020)
(Editura Academiei Romane, 2014) -
Conference Paper
A binary cuckoo search algorithm for solving the set covering problem (2020)
(Springer Verlag, 2015) -
Conference Paper
A binary firefly algorithm for the set covering problem (2020)
(Springer Verlag, 2014) -
Conference Paper
A binary fruit fly optimization algorithm to solve the set covering problem (2020)
(Springer Verlag, 2015) -
Conference Paper
A binary invasiveweed optimization algorithm for the set covering problem (2020)
(Springer Verlag, 2016) -
Conference Paper
A black hole algorithm for solving the set covering problem (2020)
(Springer Verlag, 2016) -
Article in Press
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Article
A bvrR/bvrS Non-Polar Brucella abortus Mutant Confirms the Role of the Two-Component System BvrR/BvrS in Virulence and Membrane Integrity (2024)
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)Brucella abortus is a bacterial pathogen causing bovine brucellosis worldwide. This facultative extracellular–intracellular pathogen can be transmitted to humans, leading to a zoonotic disease. The disease remains a public ... -
Article
A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets (2024)
(IEEE Computer Society, 2024)Federated Learning is a machine learning approach that enables the training of a deep learning model among several participants with sensitive data that wish to share their own knowledge without compromising the privacy ... -
Conference Paper
A choice functions portfolio for solving constraint satisfaction problems: A performance evaluation (2020)
(IEEE Computer Society, 2016)