Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …

Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …

In high-speed railways, train collisions with obstructions on the trackside are prevented
using automated railroad security systems. Rail safety is being improved, and accident rates …

Speech emotion recognition (SER) is essential for addressing many personal and
professional challenges in our everyday lives. The application of SER has shown potential …

The detection of sound events has become increasingly important due to the development of
signal processing methods, social media, and the need for automatic labeling methods in …

The timely detection of faults that occur in industrial machines and components can avoid
possible catastrophic machine failure, prevent large financial losses, and ensure the safety …

Rail crack detection is an essential role in the safety assurance of railway transportation.
However, conventional crack detection methodologies suffer from the interference of …

Railway Track Tracer technology for Crack Detection is a technology that detects cracks in
railway tracks using machine learning. This method will assist to prevent numerous rail …

Abstract Vibration-Based Condition Monitoring (VBCM) is commonly utilized in Prognostics
and Health Management (PHM) due to its non-destructive nature and inherent advantages …

This research examines blame discovery and determination in electric vehicle (EV)
frameworks utilizing Internet of Things (IoT) information and machine learning calculations …