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Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer [PDF]
International Journal of Energetica, 2023 The current study proposes a novel meta-heuristic technique called sailfish optimizer (SFO) to design reliable photovoltaic (PV) modeling models.
Mohammed Bilal Danoune +4 more
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Engineering Science and Technology, an International Journal, 2022 The Sailfish Optimizer (SFO) is a metaheuristic algorithm inspired by a group of hunting sailfish that alternates their attacks on group of prey. The SFO algorithm takes advantage of using a simple method for providing the dynamic balance between ...
Hamid Reza Naji +3 more
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SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm [PDF]
PeerJ Computer Science, 2023 The Internet of Things (IoT) includes billions of different devices and various applications that generate a huge amount of data. Due to inherent resource limitations, reliable and robust data transmission for a huge number of heterogenous devices is one
Ramin Mohammadi +2 more
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Scheduling in IaaS Cloud Computing Environment using Sailfish Optimization Algorithm
Trends in Sciences, 2022 Due to the exceptional benefits of cloud computing, it has magnetized IT leaders and entrepreneurs at all levels. The cloud's popularity is attributed to various technologies like the Internet of Things (IoT), mobile computing, Fog, etc. Scheduling in cloud computing is still a challenging issue due to its NP-Hard nature.
Manoj Kumar, Suman Suman
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K-means Hybrid Iterative Clustering Based on Memory Transfer Sailfish Optimization
Shanghai Jiaotong Daxue xuebao, 2022 Aimed at the problem that the existing K-means clustering (KMC) algorithm is greatly affected by initialization, and the randomly generated clustering center can easily make the clustering result fall into local optimum and stop iterating, resulting in ...
HUANG He, XIONG Wu, WU Kun, WANG Huifeng, RU Feng, WANG Jun
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Periodic pressure prediction of working face based on dynamic adaptive sailfish optimization BP neural network [PDF]
Gong-kuang zidonghuaIn order to solve the problems of insufficient precision, poor generalization, and high computational requirements of existing methods for periodic pressure prediction of working face, a periodic pressure prediction model of working face based on dynamic
YAO Yupeng, XIONG Wu
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Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer
HeliyonThis study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise.
Saad Ali Amin +5 more
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Scientific ReportsAs a preprocessing for machine learning and data mining, Feature Selection plays an important role. Feature selection aims to streamline high-dimensional data by eliminating irrelevant and redundant features, which reduces the potential curse of ...
Safaa. M. Azzam +2 more
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Sailfish optimizer based CLAHE with U-NET for MRI brain tumour segmentation
Measurement: SensorsSemantic brain tumour segmentation is a significant contribution to medical image processing. This research is helpful for doctors making diagnoses and determining the severity of lesions.
G. Yogalakshmi, B. Sheela Rani
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Applied Sciences, 2021 Presently, due to the establishment of a sensor network, residual buildings in urban areas are being converted into smart buildings. Many sensors are deployed in various buildings to perform different functions, such as water quality monitoring and ...
V. Sivasankarareddy +4 more
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