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Evaluation of production line expansion efficiency using computer simulation
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Optimization of Dual-energy Spectral Lower-extremity Computed Tomography Venography Scanning Protocol: Phantom Study
Published 2025-01-01“…Objective: To optimize a scanning protocol for dual-energy spectral lower-extremity computed tomography venography (CTV) based on a phantom study. …”
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Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision
Published 2024-12-01“…To address these challenges, this study introduces a novel system integrating advanced computer vision-based deep learning, metaheuristic optimization, and Unmanned Aerial Vehicle (UAV) technology to revolutionize bridge inspections. …”
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Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems
Published 2025-08-01“…The review is organized according to five main goals: (i) to publish experimental and empirical results in FPV literature; (ii) to develop a unified computational approach that combines CFD and ML; (iii) to assess system improvements through multi-scale hydrodynamic modelling and AI-driven adjustments; (iv) to introduce the Bidirectional Conceptual Feedback Loop (BCFL) as a dynamic optimization model; and (v) to develop a scalable, climate-resilient FPV model for the global energy transition. …”
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Joint Encryption and Optimization for 6G MEC-Enabled IoT Networks
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A Multi-Objective Approach for Optimizing Virtual Machine Placement Using ILP and Tabu Search
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LEO computing satellite constellation design for heterogeneous QoS requirements
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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms
Published 2024-10-01“…The experimental results demonstrate that the hybrid ensemble learning and heuristic optimization algorithm achieve a regression coefficient of 0.9329, a mean absolute error (MAE) of 2.7695, and a mean square error (MSE) of 4.0891. …”
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A multi-user multi-operator computing pricing method for Internet of things based on bi-level optimization
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