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2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 2022
Fraud detection is relevant in this context because of the large scale of online transactions, which conceal a small number of fraudulent transactions.Machine learning (ML) fraud detection models have numerous hyperparameters of the eXtreme Gradient ...
Hongwei Chen, Lun Chen
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Fraud detection is relevant in this context because of the large scale of online transactions, which conceal a small number of fraudulent transactions.Machine learning (ML) fraud detection models have numerous hyperparameters of the eXtreme Gradient ...
Hongwei Chen, Lun Chen
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Sailfish optimizer algorithm (SFO) for optimized clustering in wireless sensor network (WSN)
Journal of Engineering, Design and Technology, 2021Purpose Inspired optimization algorithms respond to numerous scientific and engineering difficulties based on its flexibility and simplicity. Such algorithms are valid for optimization difficulties devoid of structural alterations. Design/methodology/approach This paper presents a nature-inspired optimization algorithm, named Sailfish optimizer (SFO)
Battina Srinuvasu Kumar +2 more
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2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2), 2022
For the sake of obtaining the optimal configuration scheme of combined cooling, heating and power systems, a multi-objective optimization method called multi-objective sailfish optimization was developed in this study.
Yuanhong Liu +5 more
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For the sake of obtaining the optimal configuration scheme of combined cooling, heating and power systems, a multi-objective optimization method called multi-objective sailfish optimization was developed in this study.
Yuanhong Liu +5 more
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International Journal of Information Technology & Decision Making, 2022
The aim of this research critique is to propose a hybrid combination of Opposition-Based Learning and Sailfish Optimization strategy to recognize the salient features from a high-dimensional dataset. The Sailfish Optimization is a swarm-based metaheuristics optimization algorithm inspired by the foraging strategy of a group of Sailfish.
Utkarsh Mahadeo Khaire +3 more
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The aim of this research critique is to propose a hybrid combination of Opposition-Based Learning and Sailfish Optimization strategy to recognize the salient features from a high-dimensional dataset. The Sailfish Optimization is a swarm-based metaheuristics optimization algorithm inspired by the foraging strategy of a group of Sailfish.
Utkarsh Mahadeo Khaire +3 more
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Engineering Applications of Artificial Intelligence, 2019
Abstract Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and simplicity. These algorithms are applicable for optimization problems without structural modifications.
S. Shadravan, H.R. Naji, V.K. Bardsiri
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Abstract Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and simplicity. These algorithms are applicable for optimization problems without structural modifications.
S. Shadravan, H.R. Naji, V.K. Bardsiri
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Sailfish Optimizer Algorithm for Effective Toxic Gas Detection Sensor Placement in IIoT
2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)Toxic gas detection in industrial contexts is a key safety problem, necessitating the strategic positioning of sensors for efficient monitoring. However, the ideal placement of these sensors is a difficult optimisation problem due to factors such as gas ...
P Senthilraja +4 more
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A detection system for smart cities Using a neural network and Sailfish Optimizer algorithm
Signal and Data Processing“ The Internet of Things ” is an extensive network of intelligent objects that has a large number of objects connected to the Internet. One of the applications of the IOT network is in smart cities.
Zahra Sarhadi, Mehdi Khazaiepoor
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2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0
This paper presents a load-frequency control (LFC) strategy for a single-area power system, utilizing a proportional-integral-derivative (PID) controller optimized through the Sailfish Optimization Algorithm (SFO).
Shuhangi Sambariya +2 more
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This paper presents a load-frequency control (LFC) strategy for a single-area power system, utilizing a proportional-integral-derivative (PID) controller optimized through the Sailfish Optimization Algorithm (SFO).
Shuhangi Sambariya +2 more
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Measurement, 2021
Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k) and the quadratic penalty factor (α) still represents a challenge to obtain proper decomposition modes ...
M.G.A. Nassef +2 more
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Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k) and the quadratic penalty factor (α) still represents a challenge to obtain proper decomposition modes ...
M.G.A. Nassef +2 more
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2021 4th International Conference on Energy Conservation and Efficiency (ICECE), 2021
Solar energy is a viable solution to the damage caused by the conventional power sources to the environment. Temperature and irradiance levels have a high impact on the power generation of photovoltaic modules, but due to non-uniform irradiance levels, PV modules generate non-linear P-V curves.
Noman Mujeeb Khan +2 more
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Solar energy is a viable solution to the damage caused by the conventional power sources to the environment. Temperature and irradiance levels have a high impact on the power generation of photovoltaic modules, but due to non-uniform irradiance levels, PV modules generate non-linear P-V curves.
Noman Mujeeb Khan +2 more
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