Abstract: Data-driven hyperspectral classification has gained significant attention across various applications, leading to the development of numerous novel neural networks for effective ...
The dataset utilized in this paper is introduced in https://doi.org/10.1007/s10664-022-10247-x. It includes performance measurements from 500+ JMH microbenchmarks ...
Despite exceptional capabilities in knowledge-intensive tasks, Large Language Models (LLMs) face a critical gap in understanding how they internalize new knowledge, particularly how to structurally ...
Abstract: This paper discusses the dynamic resource optimization problem in a non-completely-overlapping non-orthogonal multiple-access (NCO-NOMA) and intelligent reflecting surface (IRS) assisted ...
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