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  1. Comparative Analysis of Contemporary Quantum Computer Processors: Architectures, Performance, and Perspectives

    Published in IEEE Access (2026)
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  2. Finite-Time Leader–Follower Tracking Control of Multiple Euler–Lagrange Systems via Sliding Mode Under Switching Topologies

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  3. A Deterministic Real-Time System for Monocular Depth Estimation on a Low-Cost Edge AI Platform: From Kernel to Inference

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  4. A Multimodal Privacy Filtering System Using Deep Learning for Visual-Audio Input Streams

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  5. HCPMR: A Hierarchically Coordinated Proximal Multi-Hop Routing Scheme for FANETs in Mission-Critical Environments

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  6. Explainable Topic Modeling for Tracking User Interests Related to Social Events

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  7. Simulated Artifacts and Data Augmentation for Real-World Video Motion Deblurring

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  8. A Saliency-Fused Spatio-Temporal Graph Neural Network for Systemic Risk Early Warning in China’s Financial-Real Economy

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  9. Predicting and Optimizing Gamma Voltage in OLED Display Manufacturing Through Sub-Pixel Crosstalk Modeling

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  10. Comparative Analysis of Inorganic B-Site Absorber Materials in Perovskite Solar Cells

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  11. Dynamic Network Reconfiguration for Mitigating Price Integrity Attacks in Grid-Aware Price-Based Demand Response

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  12. Neural Network-Driven Non-Intrusive Online Parameter Identification for DC–DC Converter

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  13. Repeating Bumps and Perception of Regularity: A Study on Effect of Vibrotactile Signal Shape

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  14. Integrated Diagnosis and Prognosis of Dynamic Systems Using Deep Learning: Case Study on a Welding Robot

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  15. Reliability Risk Assessment and Standardization Strategy for Single-Phase Immersion-Cooled Data Center

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  16. Practical Limits of Ionic Magnetophoresis for Rare-Earth Separation

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  17. Balancing Accuracy and Resources in FPGA Approximate HLS: Model-Free Versus Model-Based Approaches

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  18. Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators

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  19. Attention Reversal Driven Cross-Model Black-Box Attack on RFFI

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  20. Integrating Inquiry-Based and Problem-Based Learning to Enhance Motivation and Creativity in FEM Course

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