durgeshsahu16 / Railway-Track-fault-Detection-ProjectLinks
This project employs Python and TensorFlow to develop a robust image classification system. By analyzing images of railway tracks, the system identifies and classifies potential faults, such as cracks, deformations, and irregularities. Leveraging advanced machine learning techniques, the project contributes to the early detection of track anomal…
☆12Updated 2 years ago
Alternatives and similar repositories for Railway-Track-fault-Detection-Project
Users that are interested in Railway-Track-fault-Detection-Project are comparing it to the libraries listed below
Sorting:
- Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classificati…☆12Updated 3 years ago
- Richter's Predictor: Modeling Earthquake Damage - Based on aspects of building location and construction, predict the level of damage to…☆10Updated 5 years ago
- STEM: Numerical model to simulate railway induced vibrations☆14Updated last month
- ☆12Updated 4 years ago
- ☆12Updated 10 months ago
- Matlab toolbox for constructing a copula-based joint distribution for bivariate, trivariate, and multivariate cases.☆10Updated 2 years ago
- An open software for automatic landslide susceptibility analysis☆10Updated 4 months ago
- Public ML-programming courses carried out by NGI. Focusing on geotechnical challenges and datasets.☆12Updated 3 years ago
- ☆14Updated 3 years ago
- Coupled surface-subsurface flow solver☆11Updated 3 years ago
- 1D CNN to do classification☆10Updated 6 years ago
- ☆10Updated 3 years ago
- cellular automata (ca) land use change simulation winform application☆10Updated 8 years ago
- This repository contains the code and information for the paper "UAV-Enhanced Combination to Application: Comprehensive Analysis and Benc…☆13Updated 11 months ago
- Resources for deep learning with satellite & aerial imagery☆10Updated 3 years ago
- A Reciprocal Statistic for Detecting the Full Range of Local Patterns of Bivariate Spatial Association☆11Updated 4 months ago
- Neural integration for constitutive equations☆10Updated last year
- Here are the codes for the "3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks an…☆10Updated 2 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆12Updated 2 years ago
- Official code for DPM : A Novel Training Method for Physics-Informed Neural Networks in Extrapolation☆10Updated 3 years ago
- ☆12Updated 4 years ago
- ☆12Updated 2 years ago
- The implementation of GWRBoost.☆16Updated last year
- It is very difficult for getting a perfect distance between gaps and objects, Here using OpenCV, some possibilities can be made☆10Updated 6 years ago
- A Bayesian unsupervised learning approach for soil stratification identification☆16Updated 6 years ago
- A MATLAB based package for dynamic simulation of spar-type floating offshore wind turbine.☆15Updated 2 years ago
- Solar Energy Foecast Using Machine Learning☆14Updated 7 years ago
- ☆13Updated last month
- Prepare 30m resolution tree-height map for Nilgiri Bioshphere Reserve using Google Earth Engine. Uses GEDI, Landsat-8, ALOS-PALSAR, Senti…☆13Updated 2 years ago
- Stochastic geological modeling using Markov Random Field and Bayesian Machine Learning☆16Updated 2 years ago