Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Knowledge-Based …, 2021 - Elsevier
Although the continuous version of ant colony optimizer (ACOR) has been successfully
applied to various problems, there is room to boost its stability and improve convergence …

HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images

M Abdel-Basset, V Chang, R Mohamed - Applied soft computing, 2020 - Elsevier
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …

A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy

M Abdel-Basset, R Mohamed, M Elhoseny… - IEEE …, 2020 - ieeexplore.ieee.org
Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …

A review of recent advances in robotic cell microinjection

Z Chi, Q Xu, L Zhu - Ieee Access, 2020 - ieeexplore.ieee.org
Cell microinjection is a direct and effective way to transfer external materials into the cell. In
the field of modern biomedicine, cell microinjection is very important, no matter in genetics …

A novel hybrid model based on Bernstein polynomial with mixture of Gaussians for wind power forecasting

Y Dong, H Zhang, C Wang, X Zhou - Applied Energy, 2021 - Elsevier
In recent years, the effective application of wind power forecasting in power system has
been approved. However, owing to the intermittence and nonlinearity of wind power time …

[PDF][PDF] Medical image segmentation: a review of recent techniques, advancements and a comprehensive comparison

AS Dar, D Padha - Int J Comput Sci Eng, 2019 - researchgate.net
Image segmentation is the most critical function in image analysis and processing. Results
of segmentation fundamentally affect all subsequent image analysis processes such as …

A hybrid feature selection method based on binary state transition algorithm and ReliefF

Z Huang, C Yang, X Zhou… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Feature selection problems often appear in the application of data mining, which have been
difficult to handle due to the NP-hard property of these problems. In this study, a simple but …

Temperature measurement and compensation method of blast furnace molten iron based on infrared computer vision

D Pan, Z Jiang, Z Chen, W Gui, Y Xie… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The temperature of molten iron at the taphole of blast furnace (BF) is an important parameter
that reflects molten iron quality and BF conditions. It is not easy to measure the temperature …

Symmetric cross-entropy multi-threshold color image segmentation based on improved pelican optimization algorithm

C Zhang, YH Pei, XX Wang, HY Hou, LH Fu - PloS one, 2023 - journals.plos.org
To address the problems of low accuracy and slow convergence of traditional multilevel
image segmentation methods, a symmetric cross-entropy multilevel thresholding image …

Prediction model for methanation reaction conditions based on a state transition simulated annealing algorithm optimized extreme learning machine

Y Shen, Y Dong, X Han, J Wu, K Xue, M Jin… - International Journal of …, 2023 - Elsevier
Methanation is the core process of synthetic natural gas, the performance of the entire
reaction system depends on precise values of the reaction condition parameters. Accurate …