The development of the Internet of Things (IoT) paradigm and its significant spread as an
affordable data source has brought many challenges when pursuing efficient data collection …

Major aviation organizations have highlighted the need to adopt artificial intelligence (AI) to
transform operations and improve efficiency and safety. However, the aviation industry …

ABSTRACT A careful examination of the pertinent literature denotes that no empirical study
has tested the consequences of environmentally specific servant leadership (ESS) among …

The integration of artificial intelligence of things (AIoT) is transforming aviation health
monitoring systems by combining extensive data collection with advanced analytical …

Abstract Urban Air Mobility (UAM) is a transformative concept that must operate
harmoniously within the constraints imposed by societal impacts. Noise-aware flight …

The success of machine learning in real-world use cases has increased its demand in
mission-critical applications such as autonomous vehicles, healthcare and medical …

This Perspective article aims to emphasize the crucial role of uncertainty quantification (UQ)
in understanding magnetic phase transitions, which are pivotal in various applications …

The primary motivation for this study is the recent growth and increased interest in artificial
intelligence (AI). Despite the widespread recognition of its critical importance, a discernible …

Airport noise prediction models are divided into physics-guided methods and data-driven
methods. The prediction results of physics-guided methods are relatively stable, but their …

Big Data Analytics (BDA) provides valuable opportunities for the optimization of maritime
ship** management and operations. This might have a significant and beneficial impact …