SinoXiv
3
results found
Deep learning models for automated knee osteoarthritis (OA) grading achieve high in-distribution accuracy but frequently exploit spurious image-acquisition cues — a phenomenon termed shortcut learning...
shortcut learning
knee osteoarthritis
Kellgren–Lawrence grading
gradient reversal layer
domain generalization
mutual information
Integrated Gradients
adversarial disentanglement
The growing prevalence of diabetes highlights the need for scalable, accurate, and privacy-conscious testing technologies. To train models, traditional machine learning (ML) techniques often rely on c...
Federated Learning
Edge Computing
Decentralized Intelligence
Deep Neural Network
Diabetes Prediction
Healthcare
Deep neural networks (DNNs) are increasingly critical to embedded and cyber–physical systems that demand strict real-time guarantees. However, the computational intensity of modern DNNs often exceeds ...
Real-time systems
Worst-case execution time (WCET)
Deterministic scheduling
Distributed deep neural network inference
Heterogeneous multiprocessor scheduling
Directed acyclic graph (DAG) scheduling
Time-Sensitive Networking (TSN)
FPGA-based acceleration
