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Found 6 papers, 2 papers with code
LLMs for Coding and Robotics Education
To teach young children how to code and compete in robot challenges, large language models are being utilized for robot code explanation, generation, and modification.
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications
We argue that central to the success of ESC is the robust interpretation of conveyed semantics at the receiver side, especially for security-critical applications such as automatic driving and smart healthcare.
SSN: Stockwell Scattering Network for SAR Image Change Detection
Recently, synthetic aperture radar (SAR) image change detection has become an interesting yet challenging direction due to the presence of speckle noise.
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
We also examine the properness of existing evaluation criteria and focus on evaluating the prediction ability of our proposed method.
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Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer
User preference music transfer (UPMT) is a new problem in music style transfer that can be applied to many scenarios but remains understudied.
Ensemble Enabled Weighted PageRank
Our approach is called Ensemble enabled Weighted PageRank (EWPR).
