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pro vyhledávání: '"Andrew, Lang S. I. D"'
The real-time quantification of the effect of a wireless channel on the transmitting signal is crucial for the analysis and the intelligent design of wireless communication systems for various services. Recent mechanisms to model channel characterist
Externí odkaz:
http://arxiv.org/abs/2405.08199
This study introduces a systematic framework to compare the efficacy of Large Language Models (LLMs) for fine-tuning across various cheminformatics tasks. Employing a uniform training methodology, we assessed three well-known models-RoBERTa, BART, an
Externí odkaz:
http://arxiv.org/abs/2405.00949
Autor:
Youngmin, Lee, Xiaomin, Ma, Andrew, Lang S. I. D., Enrique, Valderrama-Araya F., Andrew, Chapuis L.
In the realm of wireless communication, stochastic modeling of channels is instrumental for the assessment and design of operational systems. Deep learning neural networks (DLNN), including generative adversarial networks (GANs), are being used to ap
Externí odkaz:
http://arxiv.org/abs/2312.06849