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 …

[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 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 …

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 **e… - 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 …

A new fusion of whale optimizer algorithm with Kapur's entropy for multi-threshold image segmentation: Analysis and validations

M Abdel-Basset, R Mohamed… - Artificial intelligence …, 2022 - Springer
The separation of an object from other objects or the background by selecting the optimal
threshold values remains a challenge in the field of image segmentation. Threshold …

A statistical study on parameter selection of operators in continuous state transition algorithm

X Zhou, C Yang, W Gui - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
The state transition algorithm (STA) has been emerging as a novel metaheuristic method for
global optimization over the past few years. In our previous study, the parameter of …