Historical maps classification has become an important application in today's scenario of everchanging land boundaries. Historical map changes include the change in boundaries of …
H Yu, J Song, C Chen, AA Heidari, J Liu, H Chen… - … Applications of Artificial …, 2022 - Elsevier
Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the enhanced variants of velocity-free particle swarm optimizer with proven defects and …
Image segmentation is one of the most significant and required procedures in pre- processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
A Shoeibi, N Ghassemi, M Khodatars… - … Signal Processing and …, 2022 - Elsevier
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The …
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 …
The need for better-performing algorithms to solve real-world power systems engineering problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …
H Jia, C Lang, D Oliva, W Song, X Peng - Remote sensing, 2019 - mdpi.com
In this paper, a novel satellite image segmentation technique based on dynamic Harris hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …
X Bao, H Jia, C Lang - Ieee Access, 2019 - ieeexplore.ieee.org
Multilevel thresholding has got more attention in recent years with various successful applications. However, the implementation becomes more and more complex and time …
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The literature has expanded significantly in the past few years. This paper provides a timely …