Liver Cancer Algorithm: A novel bio-inspired optimizer
This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm
EH Houssein, DA Abdelkareem, MM Emam… - Computers in Biology …, 2022 - Elsevier
Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
Boosted sooty tern optimization algorithm for global optimization and feature selection
Feature selection (FS) represents an optimization problem that aims to simplify and improve
the quality of highly dimensional datasets through selecting prominent features and …
the quality of highly dimensional datasets through selecting prominent features and …
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 …
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization
In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
Dynamic candidate solution boosted beluga whale optimization algorithm for biomedical classification
In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …
Chaotic search-and-rescue-optimization-based multi-hop data transmission protocol for underwater wireless sensor networks
Underwater wireless sensor networks (UWSNs) have applications in several fields, such as
disaster management, underwater navigation, and environment monitoring. Since the nodes …
disaster management, underwater navigation, and environment monitoring. Since the nodes …
Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems
The equilibrium optimizer (EO) is a recently proposed physics-based metaheuristic
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …