Abstract: Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario, which requires the model to continually learn new classes with limited labeled data (i.e., ...
As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.
Abstract: In this article, a machine-learning-assisted antenna array isolation optimization method for bistatic in-band full-duplex (IBFD) communication systems based on a novel intelligent surface ...