Remote Sensing and Machine Learning for Safer Railways: A Review

W Helmi, R Bridgelall, T Askarzadeh - Applied Sciences, 2024 - mdpi.com
Regular railway inspections are crucial for maintaining their safety and efficiency. However,
traditional inspection methods are complex and expensive. Consequently, there has been a …

Pattern recognition based on statistical methods combined with machine learning in railway switches

AM del Río, IS Ramirez, M Papaelias… - Expert Systems with …, 2024 - Elsevier
Railway switches are critical components in the rail system. Operation and maintenance
tasks are essential to ensure proper functioning and avoid any failure that can cause delays …

On the enhancement of semi-supervised deep learning-based railway defect detection using pseudo-labels

R Ozdemir, M Koc - Expert Systems with Applications, 2024 - Elsevier
In recent years, the use of deep learning methods in railway defect detection has expanded
rapidly due to the technology's ability to improve accuracy and efficiency in fault diagnosis …

Pattern recognition based on statistical methods combined with machine learning in railway switches

Railway switches are critical components in the rail system. Operation and maintenance
tasks are essential to ensure proper functioning and avoid any failure that can cause delays …

[PDF][PDF] Railway Track Fault Detection with ResNet Deep Learning Models

MM SARITAS, YS TASPINAR, I CINAR, M KOKLU - researchgate.net
Defects, deformations, cracks, fractures, shifts, or wear on railway lines are some of the
problems that can arise on railway lines. Such problems can have serious effects on the …

TENSORFLOW KUTUBXONASINING IMKONIYATLARI

J Berdiyev - Uzbekistan: Language and Culture, 2023 - uzlc.navoiy-uni.uz
Hozirgi axborotlashgan davrda ma'lumotlardan foydalanish juda muhim ahamiyat kasb
etmoqda. Ma'lumotlarni qayta ishlash, tasniflash, tahlil qilish, tahrir qilish kabi masalalarni …