As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

The classical linear discriminant analysis (LDA) algorithm has three primary drawbacks, ie,
small sample size problem, sensitivity to noise and outliers, and inability to deal with multi …

By leveraging the labeled data samples of the source domain to learn the unlabeled data
samples of the target domain, unsupervised domain adaptation (DA) has achieved …

As one of state-of-the-art supervised novelty detection models, support vector machine-
supervised novelty detection (SVM-SND) can recognize whether a test instance is a novelty …

With the rapid advances in digital imaging and communication technologies, recently image
set classification has attracted significant attention and has been widely used in many real …

Accurate extraction of urban green space is critical for preserving urban ecological balance
and enhancing urban life quality. However, due to the complex urban green space …

Ordinal regression (OR) is a crucial in machine learning. Usual assumption is that all
training instances are perfectly denoted. However, when this assumption does not hold, the …

Neurological disorders have an extreme impact on global health, affecting an estimated one
billion individuals worldwide. According to the World Health Organization (WHO), these …

Nowadays, big data analysis has become an important approach in social information
network. However, the social information may not be distributed independently and …

The ongoing expansion of the Industrial Internet of Things (IIoT) is enabling the possibility of
effective Industry 4.0, where massive sensing devices in heterogeneous environments are …