An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
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 ...
1 Nanjing Changtian Surveying and Mapping Technology Co., Ltd., Nanjing, China 2 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou, China ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Abstract: Recent advancements in deep learning architectures have made it possible to solve a wide range of classification problems present in industrial applications. However, many CNN architectures ...
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 ...
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