Concrete Compressive Strength Prediction using Machine Learning
☆28Apr 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:
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆23Jul 28, 2020Updated 6 years ago
- ☆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 3 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆13Nov 27, 2020Updated 5 years ago
- ☆11Feb 28, 2022Updated 4 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.
- Classical Carleman solution of the viscous Burgers equation, used in https://arxiv.org/abs/2011.03185.☆12Mar 1, 2021Updated 5 years ago
- Predict the wall shear stress along the coronary artery using Deep Learning☆13Aug 9, 2021Updated 5 years ago
- Data corresponding to the paper "Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning"☆12Dec 29, 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 5 years ago
- Patient data simulator following the structure of an open-ai gym.☆12Jul 9, 2019Updated 7 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 3 years ago
- This repository contains python codes to classify earthquake rupture based on random forest and neural network.☆15Jun 20, 2019Updated 7 years ago
- Machine Learning-based Second-order Analysis of Beam-columns through Physics-Informed Neural Networks☆17Feb 18, 2025Updated last year
- Failure mode identification of shear walls☆18Feb 13, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Repo for "PIX2NVS: Parameterized conversion of pixel-domain video frames to neuromorphic vision streams" ICIP2017☆22Oct 4, 2021Updated 4 years ago
- ARRU Phase Picker: Attention Recurrent‐Residual U‐Net for Picking Seismic P‐ and S‐Phase Arrivals☆19Feb 7, 2022Updated 4 years ago
- Collection of forward and inverse PINN examples for heat transfer, Allen–Cahn, elasticity, and related PDE problems.☆15Apr 24, 2026Updated 5 months ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 4 months ago
- Molecular dynamics simulations in Python and Cython. Simulates Lennard-Jones particles in the NVE ensemble using the Verlet method and hi…☆12Jun 2, 2015Updated 11 years ago
- ☆10Feb 9, 2025Updated last year
- Expandable crack detection for composite materials.☆14Sep 14, 2022Updated 4 years ago
- ☆11Aug 30, 2023Updated 3 years ago
- The Anansi Hexapod Robot is a 3D-printable hexapod frame based on 24 Dynamixel MX-28 Robot Actuators. The design is radially symmetrical …☆12Sep 29, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Engineer-Ayesha-Shafique / Brain-Tumor-Segmentation-and-Detection-using-UNET-and-Watershed-in-PythonCreate a precise and efficient method for recognizing and segmenting brain tumours from MRI images. It entails pre-processing MRI images …☆13Jun 9, 2023Updated 3 years ago
- Deep learning model for classifying concrete images as with or without crack☆13May 10, 2020Updated 6 years ago
- Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame dat…☆15Aug 31, 2023Updated 3 years ago
- Latest version of LIGGGHTS in Windows 10☆16Dec 15, 2024Updated last year
- Metropolis Monte Carlo particle simulations for statistical mechanics in Python and Cython. Simulates Lennard-Jones particles using a Mar…☆12Jun 2, 2015Updated 11 years ago
- Fast calculation of contact angles in tomography images using deep learning☆16Apr 2, 2024Updated 2 years ago
- Code Library for Multi-sphere Particles. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2…☆16May 6, 2021Updated 5 years ago
- Explainability of Brain Tumour Segmentation Models☆15Mar 24, 2023Updated 3 years ago
- Sequential Learning App for Materials Discovery ("SLAMD") - Web Version☆21Apr 2, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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
- ☆22Oct 31, 2022Updated 3 years ago
- Spatial Simulation of Tumor Growth☆14Feb 24, 2017Updated 9 years ago
- This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Ma…☆12Jan 30, 2023Updated 3 years ago
- ☆15Jun 18, 2024Updated 2 years ago
- Brain tumor detection using computer vision☆14Aug 30, 2022Updated 4 years ago
- Industrial process, Silicon content, molten iron quality (MIQ) prediction, soft sensor, deep learning, sintering process, blast furnace i…☆35Jun 29, 2024Updated 2 years ago