The dynamic neural network (DNN), in contrast to the static counterpart, offers numerous
advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem …

Although multimodal physiological data from the central and peripheral nervous systems
can objectively respond to human emotional states, the individual differences caused by non …

With increasing social globalization, interaction between people from different cultures has
become more frequent. However, there are significant differences in the expression and …

The amount of multi-modal data available on the Internet is enormous. Cross-modal hash
retrieval maps heterogeneous cross-modal data into a single Hamming space to offer fast …

Ensemble clustering has an advantage in producing a more promising and robust clustering
result by combining multiple partitions strategically. The quality of both base partitions and …

In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant
features for tumour gene expression profiles. However, the current unsupervised feature …

Broad learning system (BLS) is a simple yet efficient learning algorithm that only needs to
train a three-layer feedforward neural network. Although various BLS variants have been …

Burn-through point (BTP) is an essential thermal state parameter in a sintering process,
which is a direct reflection of the stability of this process. However, it cannot be measured …

Smart pipeline systems (SPSs) based on phase-sensitive optical time-domain reflectometry (-
OTDR) distributed optical fiber sensors (DOFSs) are widely used to recognize and locate …

Due to the advantages of fast training speed and competitive performance, Broad Learning
System (BLS) has been widely used for classification tasks across various domains …