MSBWO: A Multi-Strategies Improved Beluga Whale Optimization Algorithm for Feature Selection [PDF]
BiomimeticsFeature selection (FS) is a classic and challenging optimization task in most machine learning and data mining projects. Recently, researchers have attempted to develop more effective methods by using metaheuristic methods in FS.
Zhaoyong Fan +4 more
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An Enhanced Misinformation Detection Model Based on an Improved Beluga Whale Optimization Algorithm and Cross-Modal Feature Fusion [PDF]
BiomimeticsThe proliferation of multimodal misinformation on social media has become a critical concern. Although detection methods have advanced, feature representation and cross-modal semantic alignment challenges continue to hinder the effective use of ...
Guangyu Mu +5 more
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Dynamic Candidate Solution Boosted Beluga Whale Optimization Algorithm for Biomedical Classification
Mathematics, 2023 In many fields, complicated issues can now be solved with the help of Artificial Intelligence (AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms used to tackle numerous issues in various fields is the Beluga Whale ...
Essam H. Houssein, Awny Sayed
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Hyperparameter optimization ResNet by improved Beluga Whale Optimization. [PDF]
PLoS ONEThe parameter values of neural networks will directly affect the performance of the network, so it is very important to choose the appropriate parameter tuning method to improve the performance of the neural network.
Huan Liu +4 more
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Trajectory Planning of Spraying Robot Based on Multi Strategy Improved Beluga Optimization Algorithm [PDF]
SensorsIn this paper, a trajectory planning method based on an improved beluga whale optimization algorithm is proposed for the trajectory planning of plasma-spraying robot with complex surfaces. Firstly, the system architecture, kinematics model and trajectory
Yifang Wen, Renzhong Wang, Ting Huang
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Optimizing Deep Learning Models with Improved BWO for TEC Prediction [PDF]
BiomimeticsThe prediction of total ionospheric electron content (TEC) is of great significance for space weather monitoring and wireless communication. Recently, deep learning models have become increasingly popular in TEC prediction.
Yi Chen +6 more
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A semi-automated method using object-based image analysis (OBIA) to detect and enumerate beluga whales in summer from very high-resolution (VHR) satellite imagery. [PDF]
PLoS ONEVery high-resolution (VHR) satellite imagery has proven to be useful for detection of large to medium cetaceans, such as odontocetes and offers some significant advantages over traditional detection methods.
John Iacozza +2 more
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Beluga Optimization Algorithm for Near-Infrared Spectral Variable Selection of Complex Samples [PDF]
FoodsNear-infrared (NIR) spectroscopy combined with multivariate calibration methods is widely used for the quantitative analysis of complex samples. However, the high-dimensional redundancy of spectra may compromise model predictive accuracy, making it ...
Javaria Kousar +4 more
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Scene classification in dance art using deep learning with squeeze and excitation networks and the Advanced Beluga Whale Optimization Algorithm [PDF]
Scientific ReportsAutomation of scene classification within artistic domains has become more prevalent due to the advent of deep learning. This study presented a new framework for classifying dance scenes using an adapted Squeeze-and-Excitation Network (SENet) and ...
Yude Dong, Linfang Sun
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AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems [PDF]
BiomimeticsBeluga whale optimization (BWO) is a swarm-based metaheuristic algorithm inspired by the group behavior of beluga whales. BWO suffers from drawbacks such as an insufficient exploration capability and the tendency to fall into local optima.
Guoping You +3 more
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