Zobrazeno 1 - 10
of 539
pro vyhledávání: '"Hybrid strategy"'
Autor:
Gutiérrez-Broncano, Santiago, Linuesa-Langreo, Jorge, Rubio-Andrés, Mercedes, Sastre-Castillo, Miguel Ángel
Publikováno v:
European Journal of Innovation Management, 2024, Vol. 27, Issue 9, pp. 173-197.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EJIM-07-2023-0566
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) often faces challenges such as local opt
Externí odkaz:
https://doaj.org/article/446a459d7e84457ba9f07caa68433edb
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e40134- (2024)
To balance the convergence speed and solution diversity and enhance optimization performance when addressing large-scale optimization problems, this research study presents an improved ant colony optimization (ICMPACO) technique. Its foundations incl
Externí odkaz:
https://doaj.org/article/fd192988a118415b89f4300174ae5cc1
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 6, pp. 2107-2131.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-07-2022-0918
Publikováno v:
IEEE Access, Vol 12, Pp 70392-70404 (2024)
This study proposes a hybrid fault detection methodology for detecting epoxy faults in hairpin-based stator windings of electric motors. The hybrid methodology integrates a model-based approach for feature extraction and a data-driven approach for fa
Externí odkaz:
https://doaj.org/article/44ad6922379743d78f6840053eebecb8
Autor:
Abdelkader Riche, Ammar Drias, Mawloud Guermoui, Tarek Gherib, Tayeb Boulmaiz, Boularbah Souissi, Farid Melgani
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3673 (2024)
Flood-susceptibility mapping (FSM) is crucial for effective flood prediction and disaster prevention. Traditional methods of modeling flood vulnerability, such as the Analytical Hierarchy Process (AHP), require weights defined by experts, while machi
Externí odkaz:
https://doaj.org/article/636ba8f0c853477c9892c0bb160551c6
Autor:
Cunbing Li
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200364- (2024)
Abstracts: The study proposes a cascaded hybrid neural network commodity demand prediction model based on multimodal data. This model aims to improve the accuracy of commodity demand forecasts on e-commerce platforms. By constructing multimodal data
Externí odkaz:
https://doaj.org/article/7fb947cf67d84e24b8a1f4a0ba7ad32d
Publikováno v:
Journal of Organizational Change Management, 2023, Vol. 36, Issue 4, pp. 561-584.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JOCM-01-2023-0027
Autor:
R.V.
Publikováno v:
Економіка, управління та адміністрування, Vol 2, Iss 104, Pp 32-36 (2023)
The role of hybrid strategy in the process of innovative strategizing is considered. It is determined that a clean strategy does not lead to excellent results and is widely criticized. Scientists say that there has been a shift in focus from pure str
Externí odkaz:
https://doaj.org/article/fd71a700cf6c43928dfb6b94f8659b79
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 4962 (2024)
Over the past decade, significant advancements have been made in low-light image enhancement (LLIE) methods due to the robust capabilities of deep learning in non-linear mapping, feature extraction, and representation. However, the pursuit of a unive
Externí odkaz:
https://doaj.org/article/0f48af3b321e4112935991216cc948f1