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Innovative and best practices in sustainable strategies for waste reduction in additive manufacturing
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network
Published 2025-06-01“…The methodology employs a Subtraction-Average-Based Optimizer (SABO) to adaptively configure Time-Varying Filtered Empirical Mode Decomposition (TVFEMD), effectively resolving mode mixing through optimized parameter selection. …”
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Investigation of Joining Performance and Microstructural Mechanisms of Softwood and Hardwood Dowel Joints via Rotary Friction Welding
Published 2025-06-01“…This study focused on commonly used dowel materials (softwood: Scots pine, hardwood: birch), with moisture content adjusted to 7 to 10%, and examined the welding performance and micro-mechanisms. Through orthogonal experiments, the influence of process parameters on the welding strength of both wood types was systematically investigated. …”
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Time-frequency feature calculation of multi-stage audiovisual neural processing via electroencephalogram microstates
Published 2025-08-01“…To temporally resolve the neural processing stages, we developed an EEG microstate-based analysis method. …”
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Microstructure characteristics and performance optimization of (Ti,Nb)C particle reinforced Fe-based materials by laser melting deposition
Published 2025-06-01“…On this basis, the mechanical properties of the (Ti,Nb)C particle-reinforced Fe-based materials were optimized by adjusting the processing parameters. …”
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Effect of process parameters on mechanical properties and corrosion resistance of Ti–6Al–4V alloys prepared by selective laser melting
Published 2025-05-01“…This study thus investigates the influence of selective laser melting (SLM) process on the mechanical properties and corrosion resistance of Ti–6Al–4V (TC4) alloys. …”
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Integrating Machine Learning into Additive Manufacturing of Metallic Biomaterials: A Comprehensive Review
Published 2025-02-01“…This review explores the application of ML in AM of metallic biomaterials, focusing on four key areas: (1) component design, where ML guides the optimization of multi-component alloys for improved mechanical and biological properties; (2) structural design, enabling the creation of intricate porous architectures tailored to specific functional requirements; (3) process control, facilitating real-time monitoring and adjustment of manufacturing parameters; and (4) parameter optimization, which reduces costs and enhances production efficiency. …”
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Interactive optimization scheduling method for distribution network and charging stations based on fuzzy logic and multi-strategy serial implementation mechanism
Published 2025-09-01“…In the vehicle-to-grid (V2G) interaction scheduling process, the incentive price is a crucial factor affecting the user-side response. …”
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A Systematic Literature Review of Optimization Methods in Skeleton-Based Human Action Recognition
Published 2025-01-01“…To address these challenges, optimization methods, such as attention mechanisms and fusion strategies are being implemented in the feature extraction and classification processes to enhance the performance of action recognition. …”
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