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  1. Risk Model for Choosing Signature Thresholds for Software Updates

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  2. A Vision-Based Framework for Safe Landing Zone Mapping of UAVs in Dynamic Environments

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  3. MCP-Secure: A Runtime Access Control Layer for Privilege-Aware LLM Agent Tooling

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  4. Reinforcing CBDC Integrity: A Novel Anti Money Laundering Solution by Integrating Blockchain, Machine Learning, and Taint Analysis

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  5. Integrating AI and Large Language Models for Automated Data Quality Enhancement in Data Integration Systems

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  6. Advancing Autism Spectrum Disorder Diagnosis With Multimodal Data: A Survey

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  7. LLM-Driven Adaptive Cloud Resource Scheduling: Bridging Reasoning Intelligence With Optimization Guarantees

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  8. Toward Realistic and Efficient Cyber Deception

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  9. STGAN-Q-Mix: Coordinated Spatiotemporal Learning for Polyglot Sign Language Interpretation

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  10. Multi-Label Incremental Learning for State Prediction of Actuator Devices in Smart Homes

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  11. Cross-Attention Multi-Modal Transformer for Early Diagnosis of Parkinson's Disease

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  12. Data-Driven Prediction of Maternal Health Risk Level Using Machine Learning Algorithms

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  13. A Framework for Predictive Similarity Queries Over Heterogeneous Metric Spaces

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  14. NA-STM Enhanced Energy-Efficient Custom Spiking U-Net Denoiser for Noise-Robust CIFAR-10 Classification

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  15. Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem

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  16. Smart Contract–Enabled P2P Energy Trading: A Formally Verified Game-Theoretic Framework

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  17. Enhanced Adaptive Path Optimization for UAV Logistics Delivery in Post-Disaster Scenarios

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  18. Efficient Lightweight YOLO for Adenoid Detection and Segmentation in Cephalometric Radiographs

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  19. Stack Transformer-Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition

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  20. Lightweight IDS Method for IoT Devices Traffic Monitoring Through Distilled Federated Knowledge on Decentralized Data

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