Researchers are beginning to transition from studying human–automation interaction to
human–autonomy teaming. This distinction has been highlighted in recent literature, and …

Performing and listening to music occurs in specific situations, requiring specific media.
Empirical research on music listening and appreciation, however, tends to overlook the …

In view of the universal existence of multi-source uncertainty factors in engineering
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …

Bayesian optimization (BO) is increasingly employed in critical applications such as
materials design and drug discovery. An increasingly popular strategy in BO is to forgo the …

We propose a scheme for global optimization with first-principles energy expressions of
atomistic structure. While unfolding its search, the method actively learns a surrogate model …

This study derives a uniaxial tensile flow from spherical indentation data using an artificial
neural network (ANN) combined with finite element (FE) analysis. The feasibility of the FE …

Benchmarking and performance analysis play an important role in understanding the
behaviour of iterative optimization heuristics (IOHs) such as local search algorithms, genetic …

Autonomous vehicles are to revolutionize the way urban mobility demands are served, and
they are most likely to be powered by electricity. To accurately quantify the benefits of …

Inertial-measurement-unit (IMU)-based human activity recognition (HAR) studies have
improved their performance owing to the latest classification model. In this study, the …

Objective Distinguishing normal, neuropathic and myopathic electromyography (EMG)
traces can be challenging. We aimed to create an automated time series classification …