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Particle swarm optimization algorithm and its applications: a systematic review
AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
Modelling invasive alien plant distribution: A literature review of concepts and bibliometric analysis
In the last decades, the number of publications dedicated to the application of species
distribution models (SDMs) to invasive alien plants (IAPs) has constantly increased …
distribution models (SDMs) to invasive alien plants (IAPs) has constantly increased …
[หนังสือ][B] A beginner's guide to image preprocessing techniques
For optimal computer vision outcomes, attention to image pre-processing is required so that
one can improve image features by eliminating unwanted falsification. This book …
one can improve image features by eliminating unwanted falsification. This book …
[HTML][HTML] An improved Kansei engineering method based on the mining of online product reviews
Z Liu, J Wu, Q Chen, T Hu - Alexandria Engineering Journal, 2023 - Elsevier
The explosive growth of online review data on e-commerce websites demands major
changes to product emotional design. Kansei engineering, the primary approach of product …
changes to product emotional design. Kansei engineering, the primary approach of product …
Rough sets in COVID-19 to predict symptomatic cases
Rough set theory is a new mathematical or set-theoretical practice to study inadequate
knowledge. There are many use cases in the real world where there is a lack of crisp …
knowledge. There are many use cases in the real world where there is a lack of crisp …
Aesthetic product design combining with rough set theory and fuzzy quality function deployment
X Kang - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
The emotional value of products, especially aesthetic qualities are conducive to increasing
the market competitiveness along with the improvement of living standards. Therefore, the …
the market competitiveness along with the improvement of living standards. Therefore, the …
An intelligent model to predict the life condition of crude oil pipelines using artificial neural networks
Inefficient scheduling of a pipeline system may lead to severe degradation and substantial
economic losses. Earlier studies mostly focussed on corrosion and statistical analysis. This …
economic losses. Earlier studies mostly focussed on corrosion and statistical analysis. This …
Intelligent computing in medical imaging: A study
Biomedical imaging is considered main procedure to acquire valuable physical information
about the human body and some other biological species. It produces specialized images of …
about the human body and some other biological species. It produces specialized images of …
Increasing the accuracy of soil nutrient prediction by improving genetic algorithm backpropagation neural networks
Y Liu, C Jiang, C Lu, Z Wang, W Che - Symmetry, 2023 - mdpi.com
Soil nutrient prediction has been eliciting increasing attention in agricultural production.
Backpropagation (BP) neural networks have demonstrated remarkable ability in many …
Backpropagation (BP) neural networks have demonstrated remarkable ability in many …
An elderly-oriented design of HMI in autonomous driving cars based on rough set theory and backpropagation neural network
Z Chen - IEEE Access, 2024 - ieeexplore.ieee.org
As the issues of social sustainability and the aging of population becomes increasingly
severe, Autonomous Driving technology is increasingly being seen as an important issue for …
severe, Autonomous Driving technology is increasingly being seen as an important issue for …