In recent years, concept-based approaches have emerged as some of the most promising
explainability methods to help us interpret the decisions of Artificial Neural Networks (ANNs) …

A digital twin of a geotechnical project (eg, a reclamation or ground improvement project) is
a virtual model that aims to continuously learn from actual observations (eg, site …

Opinion summarization is the task of automatically generating summaries that encapsulate
information from multiple user reviews. We present Semantic Autoencoder (SemAE) to …

Full-field online sensing provides dense spatial information of vibrating structures in real-
time. Such compact sensing is essential to pinpoint the location of possible damage and for …

In this paper, we present a genetic algorithm (GA) based band power feature sparse
learning (SL) approach for classification of electroencephalogram (EEG)(GABSLEEG) in …

In e-commerce, opinion summarization is the process of condensing the opinions presented
in product reviews. However, the absence of large amounts of supervised datasets presents …

In structural vibration response sensing, mobile sensors offer outstanding benefits as they
are not dedicated to a certain structure; they also possess the ability to acquire dense spatial …

In civil, mechanical, and aerospace structures, full-field measurement has become
necessary to estimate the precise location of precise damage and controlling purposes …

This book introduces important results and techniques in property testing, where the goal is
to design algorithms that decide whether their input satisfies a predetermined property in …

Hyperspectral anomaly detection methods based on representation model have drawn more
attention due to their simplicity and efficiency. The traditional collaborative representation …