Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Terahertz (THz) radiation, which occupies the frequency band between microwaves and infrared light, is essential in many next ...
Abstract: In this letter, we propose a hyperparameter optimization method for adaptive filtering based on deep unrolling, termed the deep unrolling affine projection (DAP) algorithm. The core idea is ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Intrusion detection has been of prime concern in the Internet of Things (IoT) environment due to the rapid increase in cyber threats. Majority of traditional intrusion detection systems (IDSs) rely on ...
Abstract: Hyperparameter optimization (HPO) is crucial for federated learning (FL) performance. Given the inherent data heterogeneity across clients, recent research has focused on providing ...
In this paper, we propose a block-based hyperparameter optimization algorithm. Experiments on 6 state-of-the-art algorithms and 11 public datasets show that our method can significantly improve the ...
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