In the area of human performance and cognitive research, machine learning (ML) problems
become increasingly complex due to limitations in the experimental design, resulting in the …

This paper presents a collective sensing approach that integrates imperfect Volunteered
Geographic Information (VGI) obtained through Citizen Science (CS) tree mapping projects …

View Video Presentation: https://doi. org/10.2514/6.2023-3548. vid With the projected
increase in passenger load factor and rollout of more autonomous systems into the national …

Background: Fault localization in software maintenance and debugging can be a costly
process. Spectrum-Based Fault Localization (SBFL) is a widely-used method for fault …

Decision making in automated GI-based software engineering tasks can significantly affect
the performance of the system. However, modern SE usually presents high uncertainty in …

Continuous streaming Electrocardiogram (ECG) data in the Intensive Care Unit (ICU) is
highly susceptible to noise artifacts and signal corruption. Currently, the publicized …

The reduction of aviation safety metrics below target thresholds continue to drive down the
number of aviation fatalities and accidents. To meet future safety demands, sustained efforts …

Wearable smart devices are capable of capturing a variety of information from their users
using a multitude of noninvasive sensing modalities. Using features from the raw …

When developing predictive models over a dataset, the model is globally optimized across
the entire feature space to learn a decision boundary. However, when unobservable …

As aviation systems in commercial operations continue to grow in complexity, the anomalies
exhibited by these systems become more elaborate and difficult to detect. To address the …