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Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
Existing data augmentation approaches for neural machine translation (NMT) have predominantly relied on back-translating in-domain (IND) monolingual corpora.
Learning the Wireless V2I Channels Using Deep Neural Networks
For high data rate wireless communication systems, developing an efficient channel estimation approach is extremely vital for channel detection and signal recovery.
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