A comprehensive survey of sine cosine algorithm: variants and applications
AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
Nature and biologically inspired image segmentation techniques
Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …
of a set of techniques typically used to enhance the raw image obtained from different …
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 …
A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation
This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …
A multi-leader whale optimization algorithm for global optimization and image segmentation
M Abd Elaziz, S Lu, S He - Expert Systems with Applications, 2021 - Elsevier
In this paper, a multilevel thresholding image segmentation method base on the
enhancement of the performance of the whale optimization algorithm (WOA). The developed …
enhancement of the performance of the whale optimization algorithm (WOA). The developed …
A new multi-objective optimization algorithm combined with opposition-based learning
The optimization problems are divided into a single objective and multi-objective. Single
objective optimization has only one objective function; whereas, multi-objective optimization …
objective optimization has only one objective function; whereas, multi-objective optimization …
[HTML][HTML] Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
Water shortage in arid and semi-arid land is one of the most important challenges of
decision-makers. The seawater greenhouse (SWG) is a useful solution for water supply in …
decision-makers. The seawater greenhouse (SWG) is a useful solution for water supply in …
Multilevel thresholding image segmentation based on improved volleyball premier league algorithm using whale optimization algorithm
Multilevel thresholding image segmentation has received considerable attention in several
image processing applications. However, the process of determining the optimal threshold …
image processing applications. However, the process of determining the optimal threshold …
A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid …
Modeling and optimization from natural phenomena and observations of the physical earth
is an extremely important issue. In the light of the developments in computer and artificial …
is an extremely important issue. In the light of the developments in computer and artificial …
Recognition of rice sheath blight based on a backpropagation neural network
Y Lu, Z Li, X Zhao, S Lv, X Wang, K Wang, H Ni - Electronics, 2021 - mdpi.com
Rice sheath blight is one of the main diseases in rice production. The traditional detection
method, which needs manual recognition, is usually inefficient and slow. In this study, a …
method, which needs manual recognition, is usually inefficient and slow. In this study, a …