Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as
physical, behavioral, and mental changes. In the latest days, physiological activity has been …

Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

To improve the accuracy of color image completion with missing entries, we present a
recovery method based on generalized higher-order scalars. We extend the traditional …

Multi-view learning is an emerging field that aims to enhance learning performance by
leveraging multiple views or sources of data across various domains. By integrating …

It is hard to construct an optimal classifier for high-dimensional imbalanced data, on which
the performance of classifiers is seriously affected and becomes poor. Although many …

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 …

Ensemble learning (EL) boosts model prediction performance across various domains
through two main steps: generating individual classifiers (ICs) and combining them. Creating …

High-dimensional class imbalanced data have plagued the performance of classification
algorithms seriously. Because of a large number of redundant/invalid features and the class …

Discovering novel visual categories, particularly in recognition tasks, is a prominent area of
research in artificial intelligence. Visual data, such as images and videos, is inherently high …

In the realm of high-performance material development and industrial manufacturing,
accurately detecting key data during the material compression process and predicting …