Cross-Platform Interoperable Real-Time Wearable Sensor Data Analysis using Gated Capsule-Transformer Network for Clinical Diagnosis
This paper proposes a novel Gated Capsule-Transformer Network (GCT-Net) framework enhanced by Selective Meta-Heuristic Optimization and Integrated Generative-Synthetic Data Balancing to overcome data heterogeneity, scalability, and imbalance issues in wearable sensor-based healthcare, thereby significantly improving real-time clinical diagnosis accuracy, precision, and sensitivity.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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