Applied Sciences, Volume 15, Issue 4

The expansion of tunnel scale has led to a massive demand for inspections. Light Detection And Ranging (LiDAR) has been widely applied in tunnel structure inspections due to its fast data acquisition speed and strong environmental adaptability. Howev...

This paper presents a preliminary proof-of-concept study of a novel approach to 3D millimeter-wave (MMW) imaging, demonstrating the first implementation of Glow Discharge Detectors (GDDs) in this domain. GDDs offer significant advantages over convent...

Power line communication (PLC) technology is investigated in this research. A PLC system model combining Orthogonal Frequency Division Multiplexing (OFDM) and Non-Orthogonal Multiple Access (NOMA) technologies is proposed to enhance spectral efficien...

Ti-6Al-4V is a well-known alloy for its low density and excellent corrosion resistance, making it popular in aerospace, marine, medical, and automotive applications. However, at elevated temperatures, the alloy forms oxides, leading to embrittlement....

This paper conducts a comprehensive experimental comparison of two widely used additive manufacturing (AM) processes, Fused Deposition Modeling (FDM) and Stereolithography (SLA), under standardized conditions using the same test geometries and protoc...

To address the challenges in controlling a Tunnel Boring Machine (TBM) equipped with a V-type propulsion system during excavation, a digging attitude control strategy based on a nonlinear controller is introduced. First, the mathematical models of th...

Continuous integration (CI), a crucial technology for accelerating software delivery, employs prioritization methods to optimize testing efficiency. Reinforcement-learning-based prioritization techniques of test cases can dynamically adjust the prior...

Scientific dispute and scholarly debate have traditionally served as mechanisms for arbitrating between competing scientific categorizations. However, current AI technologies lack both the ethical framework and technical capabilities to handle the ad...

This study aimed to examine how playing at home affects individual football performance in the top five European leagues (LaLiga, Bundesliga, Serie A, Premier League, and Ligue 1) using offensive and defensive statistics. A secondary goal was to dete...

Deep learning methods based on neural network models have been widely applied to bearing fault classification. Although they can achieve high accuracy, they also come with significant complexity. Bearing faults often generate impact vibrations, which...