Concrete Compressive Strength Prediction using Machine Learning
☆29Apr 7, 2020Updated 6 years ago
Alternatives and similar repositories for Concrete-compressive-strength
Users that are interested in Concrete-compressive-strength are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Oct 26, 2019Updated 6 years ago
- The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concret…☆22Jun 25, 2023Updated 2 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆12Nov 27, 2020Updated 5 years ago
- Machine Learning-based Second-order Analysis of Beam-columns through Physics-Informed Neural Networks☆16Feb 18, 2025Updated last year
- Predict the wall shear stress along the coronary artery using Deep Learning☆13Aug 9, 2021Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Data corresponding to the paper "Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning"☆12Dec 29, 2023Updated 2 years ago
- The open virtual platform RC-FIAP, developed in Python, with the analysis library OpenSeesPy at its core, is presented to evaluate the se…☆17Aug 24, 2023Updated 2 years ago
- Developing an interpretable machine learning model for predicting the shear strength of RC squat walls using XGBoost and SHAP.☆14Aug 30, 2021Updated 4 years ago
- Implementing ensemble learning methods for shear strength prediction of RC deep beams with/without web reinforcements☆16Mar 10, 2021Updated 5 years ago
- Basic deep learning models in PyTorch.☆10May 18, 2020Updated 5 years ago
- ARRU Phase Picker: Attention Recurrent‐Residual U‐Net for Picking Seismic P‐ and S‐Phase Arrivals☆18Feb 7, 2022Updated 4 years ago
- ☆11Oct 6, 2020Updated 5 years ago
- A discrete element method (DEM) calibration framework for LIGGGHTS☆13Oct 24, 2019Updated 6 years ago
- User interface for LIGGGHTS that will generate a text file for LIGGGHTS simulations☆14Oct 4, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Failure mode identification of shear walls☆18Feb 13, 2020Updated 6 years ago
- Tumor growth modeling toolkit. Tumor growth numerical solvers.☆17Oct 13, 2025Updated 6 months ago
- Expandable crack detection for composite materials.☆14Sep 14, 2022Updated 3 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Apr 29, 2026Updated last week
- Sequential Learning App for Materials Discovery ("SLAMD") - Web Version☆21Apr 2, 2025Updated last year
- ☆22Oct 31, 2022Updated 3 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆34Sep 14, 2021Updated 4 years ago
- Crack detection for an autonomous UAV☆13Jul 6, 2018Updated 7 years ago
- ☆11Aug 30, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Metropolis Monte Carlo particle simulations for statistical mechanics in Python and Cython. Simulates Lennard-Jones particles using a Mar…☆12Jun 2, 2015Updated 10 years ago
- classify plant seedling into weed seedling and crop seedling using CNN☆12Jun 9, 2018Updated 7 years ago
- 10th place solution for the RSNA Pneumonia Detection Challenge☆15Nov 9, 2018Updated 7 years ago
- Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame dat…☆16Aug 31, 2023Updated 2 years ago
- R package for response-surface methodology☆19Mar 24, 2025Updated last year
- Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and hence they have different treatment…☆16Apr 8, 2018Updated 8 years ago
- The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.☆16Feb 27, 2019Updated 7 years ago
- A list of Call for Code patterns broken down by industry and technology☆20Jul 6, 2019Updated 6 years ago
- Documentation for the 2018 BraTS competition