Herein we report on a deep-learning method for the removal of instrumental noise and
unwanted spectral artifacts in Fourier transform infrared (FTIR) or Raman spectra, especially …

Seismic sensing, a kind of passive sensing technique with high sensitivity and robustness, is
a powerful tool to detect moving targets. Distributed seismic sensors can be fully buried …

Species living in extremely cold environments resist the freezing conditions through
antifreeze proteins (AFPs). Apart from being essential proteins for various organisms living …

Many studies have suggested that episodic memory is a generative process, but most
computational models adopt a storage view. In this article, we present a model of the …

Accurate estimation of customer baseline load (CBL) is a key factor in the successful
implementation of demand response (DR). CBL technologies implemented at utilities …

Early diagnosis of breast cancer unequivocally improves the survival rate of patients and is
crucial for disease treatment. With the current developments in infrared imaging, breast …

Due to the increasing complexity of computing clusters, it becomes more challenging to
identify erroneous behavior inside them. Monitoring systems collect large amounts of data to …

卷积自编码器融合了适于处理相同维度数据映射的自编码器神经网络, 以及近年来在图像处理
领域取得广泛应用的卷积神经网络. 基于深度学习处理重力观测数据图像 …

Abstract Machine learning (ML) applications have seen tremendous adoption in power
system research and applications. For instance, supervised/unsupervised learning-based …

Industrial particle accelerators typically operate in dirtier environments than research
accelerators, leading to increased noise in RF and electronic systems. Furthermore, given …