Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning. [PDF]
Cheng R, Sun Z, Qi K, Wu W, Xu L.
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Learning Guided Binary PSO Algorithm for Feature Selection and Reconstruction of Ultrasound Contrast Images in Endometrial Region Detection. [PDF]
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Deep residual and hybrid CNN models for confidence-aware real-world waste classification for sustainable waste management. [PDF]
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A first vocal repertoire characterization of long-finned pilot whales (Globicephala melas) in the Mediterranean Sea: a machine learning approach. [PDF]
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Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
Knowledge-Based Systems, 2022Changting Zhong, Zeng Meng
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Abstract Beluga whale optimization (BWO) algorithm is a recently proposed population intelligence algorithm. Inspired by the swimming, foraging, and whale falling behaviors of beluga whale populations, it shows good competitive performance compared to other state-of-the-art algorithms.
Gang Hu, Jingyu Zhong
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Kalman Filter Based Improved Beluga Whale Optimization Algorithm
2023 13th International Conference on Information Science and Technology (ICIST), 2023Hongbing Li, Baojie Zhang
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An Enhanced Beluga Whale Optimization Algorithm for Engineering Optimization Problems
Journal of Systems Science and Systems EngineeringParul Punia, Amit Raj, Pawan Kumar
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EBWO: a multi-strategy collaborative enhanced Beluga Whale Optimization algorithm
Engineering Research ExpressAbstract To address the limitations of the Beluga Whale Optimization (BWO) algorithm, including insufficient population diversity, susceptibility to local optima, and room for improvement in convergence speed, this paper proposes a multi-strategy enhanced Beluga Whale Optimization (EBWO). The EBWO integrates three improvement strategies:
Junchang Liu, Yu Liu
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