Electronic word of mouth (e-WOM) influences consumer decision-making. Since consumers'
affective experiences for products are vast, research is needed to understand and …

Active learning has the potential to save costs by intelligent use of resources in form of some
expert's knowledge. Nevertheless, these methods are still not established in real-world …

The computational burden becomes unbearable when reliability analysis involves time‐
consuming finite element analysis, especially for rare events. Therefore, reducing the …

For long-distance unattended metro tunnel monitoring systems, accurate identification of
abnormal disturbances is of great significance for underground safety. Many abnormal …

The acquired industrial data often contain missing outputs because of the irregularities of
complicated industrial environment, which make the outputs of the training dataset …

In recent years, Digital holography has emerged as an exceptional imaging technology for
tracking high-contrast object particles and, interestingly, analyzing 3D object data in real …

A data-driven statistical analysis of the missile's capture region is performed. The capture
region is the region of the initial geometric configuration for pursuer missile against a target …

Active learning is a typical approach for learning from both labeled and unlabeled examples
aiming to build efficient and accurate predictive models at minimum expense under an …

This research addresses the growing need for efficient data labeling methods by leveraging
deep learning models. The proposed approach combines pre-training and active learning to …

Many active learning methods select informative and representative examples by employing
a parametric approach. However, there is very limited research pursuing a functional non …