Geyser inspired algorithm: a new geological-inspired meta-heuristic for real-parameter and constrained engineering optimization
Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
RETRACTED ARTICLE: Peripheral Blood Smear Images Classification for Acute Lymphoblastic Leukemia Diagnosis with an Improved Convolutional Neural Network
E Özbay, FA Özbay, FS Gharehchopogh - Journal of Bionic Engineering, 2023 - Springer
The Editor-in-Chief has retracted this article because it overlaps significantly with a prior
publication with no common authors [1]. Specifically, images in Figs. 3 and 4 appear highly …
publication with no common authors [1]. Specifically, images in Figs. 3 and 4 appear highly …
[HTML][HTML] Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis
In December 2019, the first case of coronavirus 2019 (COVID-19) appeared in China,
quickly leading to a global pandemic. Early and accurate diagnosis is crucial for effective …
quickly leading to a global pandemic. Early and accurate diagnosis is crucial for effective …
An improved reptile search algorithm with ghost opposition-based learning for global optimization problems
In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
Reptile search algorithm: Theory, variants, applications, and performance evaluation
Abstract Reptile Search Algorithm (RSA) is a recently developed nature-inspired meta-
heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism …
heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism …
Multi-threshold Image Segmentation based on an improved Salp Swarm Algorithm: Case study of breast cancer pathology images
H Guo, M Li, H Liu, X Chen, Z Cheng, X Li, H Yu… - Computers in Biology …, 2024 - Elsevier
Breast cancer poses a significant risk to women's health, and it is essential to provide proper
diagnostic support. Medical image processing technology is a key component of all …
diagnostic support. Medical image processing technology is a key component of all …
Discrete improved grey wolf optimizer for community detection
Detecting communities in real and complex networks is a highly contested topic in network
analysis. Although many metaheuristic-based algorithms for community detection have been …
analysis. Although many metaheuristic-based algorithms for community detection have been …
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …
time polymerase chain reaction. However, this method has several drawbacks, including …
Simplified expression and recursive algorithm of multi-threshold Tsallis entropy
S Wang, J Fan - Expert Systems with Applications, 2024 - Elsevier
Image segmentation is an important step in obtaining image information, and it has always
been an extremely critical link in the fields of computer vision and pattern recognition …
been an extremely critical link in the fields of computer vision and pattern recognition …
An enhanced chameleon swarm algorithm for global optimization and multi-level thresholding medical image segmentation
Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …
particularly in post-processing tasks such as analysis and disease identification …