In the aviation industry, large volumes of data are collected daily, varying from engine
maintenance to flight monitoring information. The industry also gathers data from each flight …

Abstract The United States Air Force (USAF) continues to be plagued by a chronic pilot
shortage, one that could be exacerbated by an accompanying shortfall in the commercial …

Discovering human cognitive and emotional states using multi-modal physiological signals
draws attention across various research applications. Physiological responses of the human …

The cost to train a basic qualified US Navy fighter aircraft pilot is nearly USD 10 M. The
training includes primary, intermediate, and advanced stages, with the advanced stage …

This study focuses on the task of developing automated models for complex aerobatic
aircraft maneuvers. The approach employed here utilizes Behavioral Cloning, a technique in …

The work reported in this article addresses the challenge of building models for non-trivial
aerobatic aircraft maneuvers in an automated fashion. It is built using a Behavioural Cloning …

Data privacy has long been an item of emphasis for personal data. This is especially true for
healthcare data, which is often multimodal (ie, it utilizes in some fashion multiple data …

Background and objective Accurate prediction of perioperative major adverse
cardiovascular events (MACEs) is crucial, as it not only aids clinicians in comprehensively …

Sensors used to collect human physiological data often necessitate the processing and
classification of time series data, which can quickly become intractable with very lengthy …

1 Introduction The Internet of Things (IoT) is an ecosystem of user-owned product (s) with
data collection capabilities (eg, sensors) which connect over the Internet to other devices …