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Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm
Published 2025-04-01Get full text
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements
Published 2025-01-01Get full text
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Incorporating Prior Information in Latent Structures Identification for Panel Data Models
Published 2025-05-01“…The latent structure in panel models allows individuals to be classified into several distinct groups, where the individuals within the same group share the same slope parameters, while the group-specific parameters are heterogeneous. To incorporate the prior information, we design a new alternating direction method of multipliers (ADMM) algorithm based on the pairwise group fused Lasso penalty approach. …”
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Improvements from incorporating machine learning algorithms into near real-time operational post-processing
Published 2025-08-01Get full text
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Zebra optimization algorithm incorporating opposition-based learning and dynamic elite-pooling strategies and its applications.
Published 2025-01-01“…Furthermore, a dynamic elite-pooling strategy is introduced, incorporating three distinct fitness factors. The optimal individual's position is updated by randomly selecting from these factors, enhancing the algorithm's ability to attain the global optimum and increasing its overall robustness. …”
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Incorporating echo state network and sand cat swarm optimization algorithm based on quantum for named entity recognition
Published 2025-05-01“…These embeddings were then incorporated into the ESN. Additionally, the neural network was optimized utilizing the quantum-based sand cat swarm optimization algorithm. …”
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A Riemannian framework for incorporating white matter bundle prior in orientation distribution function based tractography algorithms.
Published 2025-01-01“…We tested the prior incorporation method on two ODF-based state-of-the-art algorithms, iFOD2 and Trekker PTT, on the diffusion-simulated connectivity (DiSCo) dataset and on the Human Connectome Project (HCP) data. …”
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A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network
Published 2022-12-01“…Particle swarm optimisation algorithm (PSO) possesses a strong exploitation capability due to its fast search speed. …”
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Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure
Published 2024-09-01Get full text
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