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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms
Published 2024-11-01Get full text
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9344
Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer
Published 2024-01-01Get full text
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9345
Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection
Published 2025-01-01Get full text
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9346
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9347
MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation
Published 2025-03-01Get full text
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9348
Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions
Published 2025-04-01“…This research contributes to the field of earthquake engineering by providing a more reliable and computationally efficient tool for the analysis of near-fault pulse-like ground motions, ultimately aiding in the development of better earthquake-resistant structures.…”
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9349
Gaze-informed signatures of trust and collaboration in human-autonomy teams
Published 2025-08-01Get full text
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Self-disclosure to AI: People provide personal information to AI and humans equivalently
Published 2025-08-01Get full text
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9353
A Robust Cross-Channel Image Watermarking Technique for Tamper Detection and its Precise Localization
Published 2025-01-01Get full text
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9354
Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm
Published 2025-02-01“…Additionally, a sensitivity analysis evaluates the influence of temperature and pressure on the model, with results indicating that the proposed method achieves higher efficiency than other approaches. …”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification
Published 2025-01-01“…The outcome emphasizes its ability to identify the most effective solution for crack detection in practical scenarios, where PCA-based feature selection improves computational efficiency without compromising performance. …”
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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines
Published 2025-01-01“…The proposed approach enforces domain-specific constraints to ensure physically consistent predictions while quantifying uncertainty for risk-aware decision-making. The model is evaluated using a real-world wind turbine sensor dataset, achieving an accuracy of 97.6%, a recall of 91.8%, and an AUC-ROC of 0.987. …”
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Navigating relationships with GenAI chatbots: User attitudes, acceptability, and potential
Published 2025-08-01Get full text
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