A survey on nature-inspired optimization algorithms and their application in image enhancement domain

KG Dhal, S Ray, A Das, S Das - Archives of Computational Methods in …, 2019 - Springer
In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

A hybrid whale optimization algorithm with artificial bee colony

C Tang, W Sun, M Xue, X Zhang, H Tang, W Wu - Soft Computing, 2022 - Springer
In this paper, the defects and deficiencies of the recently proposed whale optimization
algorithm (WOA) are improved. A whale optimization algorithm mixed with an artificial bee …

A hybrid improved whale optimization algorithm

C Tang, W Sun, W Wu, M Xue - 2019 IEEE 15th international …, 2019 - ieeexplore.ieee.org
Aiming at the problems that whale optimization algorithm is easy to fall into local optimal,
slow convergence speed and low accuracy in the complex environment of multi-variable …

A low-light image enhancement method with brightness balance and detail preservation

C Li, J Zhu, L Bi, W Zhang, Y Liu - PloS one, 2022 - journals.plos.org
This paper proposes a new method for low-light image enhancement with balancing image
brightness and preserving image details, this method can improve the brightness and …

A survey on underwater images enhancement techniques

OK Soni, JS Kumare - 2020 IEEE 9th International Conference …, 2020 - ieeexplore.ieee.org
The primary objective of underwater image enhancement is to recover the quality that has
been degraded due to scatters and amalgamation within the underwater environment …

The dependence of light extraction improvement on optimized surface microstructure for AlGaN-based UVC-LEDs considering TM-polarized emission

Y Zhu, H Lu, J Wang, T Yu, Z Li, Y Tian - Micro and Nanostructures, 2023 - Elsevier
In order to improve the light extraction of AlGaN-based short wavelength ultraviolet light
emitting diodes (DUC-LEDs), a type of microstructure with high aspect ratio is introduced …

CS-GA-XGBoost-based model for a radio-frequency power amplifier under different temperatures

J Wang, S Zhou - Micromachines, 2023 - mdpi.com
Machine learning methods, such as support vector regression (SVR) and gradient boosting,
have been introduced into the modeling of power amplifiers and achieved good results …

Performance-aware placement and chaining scheme for virtualized network functions: a particle swarm optimization approach

S Asgari, S Jamali, R Fotohi, M Nooshyar - The Journal of …, 2021 - Springer
Network functions virtualization (NFV) is a new concept that has received the attention of
both researchers and network providers. NFV decouples network functions from specialized …

Comparison of GWO, BAT, and CLAHE in Image Contrast Enhancement

AH Diab, WM Jasim, IT Ahmed - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
There are several CE algorithm techniques for contrast enhancement such as Contrast
Limited Adaptive Histogram Equalization (CLAHE). However, these methods suffer from …

Particle Swam Optimization Based Analysis to Unlocking the Neutrino Mass Puzzle using Flavor Symmetry

MW Aslam, AA Zafar, MN Aslam, AA Bhatti… - arXiv preprint arXiv …, 2024 - arxiv.org
New research has highlighted a shortfall in the Standard Model (SM) because it predicts
neutrinos to have zero mass. However, recent experiments on neutrino oscillation have …