A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images
MM Emam, EH Houssein, RM Ghoniem - Computers in biology and …, 2023 - Elsevier
In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …
optimization and selected optimal thresholding values for multilevel image segmentation …
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
S Zhao, P Wang, AA Heidari, H Chen… - Computers in Biology …, 2021 - Elsevier
Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2021 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …
people's safety and health. Many algorithms were developed to identify COVID-19. One way …
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy
S Zhao, P Wang, AA Heidari, H Chen, W He… - Computers in biology and …, 2021 - Elsevier
Multi-threshold image segmentation (MIS) is now a well known image segmentation
technique, and many researchers have applied intelligent algorithms to it, but these methods …
technique, and many researchers have applied intelligent algorithms to it, but these methods …
Smart home battery for the multi-objective power scheduling problem in a smart home using grey wolf optimizer
The power scheduling problem in a smart home (PSPSH) refers to the timely scheduling
operations of smart home appliances under a set of restrictions and a dynamic pricing …
operations of smart home appliances under a set of restrictions and a dynamic pricing …
[PDF][PDF] Effective classification of birds' species based on transfer learning
In recent years, with the deterioration of the earth's ecological environment, the survival of
birds has been more threatened. To protect birds and the diversity of species on earth, it is …
birds has been more threatened. To protect birds and the diversity of species on earth, it is …
Emerging applications of bio-inspired algorithms in image segmentation
Image processing is one example of digital media. It consists of a set of operations to handle
an image. Image segmentation is among its main important operations. It involves dividing …
an image. Image segmentation is among its main important operations. It involves dividing …
Bio-inspired algorithms for cybersecurity-a review of the state-of-the-art and challenges
It is witnessed that the popularity of the research in cybersecurity using bio-inspired
algorithms (a key subset of natural algorithms) is ever-growing. As an emergent research …
algorithms (a key subset of natural algorithms) is ever-growing. As an emergent research …
Dimensionality reduction, modelling, and optimization of multivariate problems based on machine learning
Simulation-based optimization design is becoming increasingly important in engineering.
However, carrying out multi-point, multi-variable, and multi-objective optimization work is …
However, carrying out multi-point, multi-variable, and multi-objective optimization work is …
A modified coronavirus herd immunity optimizer for the power scheduling problem
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization
algorithm that imitates the herd immunity strategy to eliminate of the COVID-19 disease. In …
algorithm that imitates the herd immunity strategy to eliminate of the COVID-19 disease. In …