Thermal sprayed metal coatings are used in many industrial applications, and characterizing
the structure and performance of these materials is vital to understanding their behavior in …

Driver intention recognition (DIR) methods mostly rely on deep neural networks (DNNs). To
use DNNs in a safety-critical real-world environment it is essential to quantify how confident …

In order to make design decisions, engineers may seek to identify regions of the design
domain that are acceptable in a computationally efficient manner. A design is typically …

Recent research indicates that machine learning algorithms possess the capability to exhibit
discriminatory behavior towards factors such as ethnicity, gender, race, disabilities, and …

Adversarial examples are a threat to systems that use machine learning models.
Considerable research has focused on adversarial exploits using homogeneous datasets …

Abstract Machine learning can detect many types of cybersecurity attacks, adding a layer of
security to various systems. However, machine learning is easily compromised by …

Trajectory design and well path optimization have always been the crucial factors in the
success of any oil field development, yet there always have been a lot of uncertainties …

While the use of machine learning (ML) classifiers is widespread, their output is often not
part of any follow-on decision-making process. To illustrate, consider the scenario where we …

As machine learning (ML) models are deployed into an ever-diversifying set of application
spaces, ranging from self-driving cars to cybersecurity to climate modeling, the need to …