A nature-inspired osprey optimization based feature selection framework with stacking ensemble model for imbalance-aware credit card fraud detection. [PDF]
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Finite-Element-Informed Pyramid Neural Network With Draco Lizard Optimizer for Accurate and Efficient Water Contamination Classification. [PDF]
Gunti NR, Subrahmanyam K.
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images. [PDF]
Alsamri J +8 more
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Optimization of Dye and Plasticizer Concentrations in Halochromic Sensor Films for Rapid pH Response Using Bird-Inspired Metaheuristic Algorithms. [PDF]
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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things. [PDF]
Alduailij M.
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UAV Aeromagnetic Path Planning in Complex Terrain Based on a Q-Learning-Assisted Multi-Strategy Starfish Optimization Algorithm. [PDF]
Yuan S, Li Z, Zhang J.
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Multi-Objective Pelican Optimization Algorithm for Engineering Design Problems
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Chaotic Binary Pelican Optimization Algorithm for Feature Selection
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023This research proposes a new wrapper model based on chaos theory and nature-inspired pelican optimization algorithm (POA) for feature selection. The base algorithm is converted into a binary one and a chaotic search to augment POA’s exploration and exploitation process, denoted as chaotic binary pelican optimization algorithm (CBPOA).
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