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| 순번 | 제목 | 기관명 | 기간 |
|---|---|---|---|
| 1 | Theoretically Grounded Adaptive Sampling for Imbalanced Multi-Label Classification in Medical Text | IEEE | 202512 |
| 2 | Synthetic Data Augmentation for Imbalanced Tabular Data: A Comparative Study of Generation Methods | MDPI | 202602 |
| 3 | Force Feedback-Based Adaptive Sensor Fusion Algorithm for Precision Enhancement in VR-Based Medical Training Systems | IEEE | 202601 |
| 4 | The pediatric transfer gap: How adult-ICU-trained machine-learning models degrade on pediatric intensive care patients | Elsevier Ireland Ltd | 202607 |
| 5 | CLF-CBF Quadratic Program for Nonlinear Virtual Inertia Synthesis With Safety-Critical Current Limiting in Grid-Forming Inverters | Institute of Electrical and Electronics Engineers Inc. | 202607 |
| 6 | ATRiSS: Adaptive Threat-Aware RIS–ISAC–SKG Security for 6G With Per-Block Phase, Artificial-Noise, and Overhead Optimization | IEEE | 202608 |
| 7 | NeuroCompile: A hardware-aware optimization framework with a Lava code-generation prototype for spiking neural networks on the Neuromorphic Intermediate Representation | Elsevier | 202608 |
| 8 | FedTQK: Communication-Efficient Quantum Kernel Federated Learning for Anomaly Detection in Resource-Constrained IoT Networks | IEEE | 202609 |
| 9 | Physics-informed neural ODE for continuous-time dynamics modeling and certified tracking control of soft robots | Elsevier | 202609 |
| 10 | Reducing the Quantization-Metadata Cost of Transformer KV Caches on Edge FPGAs | IEEE | 202610 |
| 11 | QTN-Hybrid: A DSP-Free Non-Linear Tensor-Network Classifier for Low-Latency FPGA Inference | IEEE | 202610 |
| 12 | Noise-aware quantum federated learning for NISQ IoT edge computing: Trainability, communication–accuracy trade-offs, and noise-reliability-weighted aggregation | Elsevier B. V. | 202610 |
| 13 | TopoHarness: A Decoupled Agent–Harness Architecture for Topologically Safe and Interpretable Physical AI in IoT-Connected Robots | IEEE | 202610 |