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Useful code such as proxgrad, FISTA,ADMM, coordinate descent (all for lasso) plus projection onto unit ball... from AMATH 515
Smart Grid (SG) technology transforms the traditional power network from a physical level into systems that comprise two levels side by side, the physical and the informative. Collecting, transferring and analyzing an enormous amount of data that can be acquired by different nodes in the network, together with the uncertainty caused by distributed power generators, challenges standard methods for safety and monitoring in future SGs. This thesis presents an effective dynamic solution for SG monitoring by combining concepts related to Compressive Sensing (CS) and Sparse Recovery (SR). Following a preliminary analysis of the stated concepts, a study is proposed to implement a SG model in MATLAB, with the aim to show and finally to compare some applications of CS - SR algorithmic techniques that are going to obtain effective problem solutions.
Refining the Accuracy and Efficiency to classify brain tumor images into malignant and benign using Matlab
In this project, we'll be going to input the Brain MRI image and run our machine learning algorithm (SVM) to classify in which category, the tumor lies in.
Brain Tumor Detection and Classification is an application build to classify an MRI scan of the brain into malignant types of Glioblastoma Multiforma and High-Grade Glioma and benign types of Meningioma and Pituitary Adenoma.
Brain tumor segmentation using FCM integrated level set method and classification based on SVM
#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras
This is my ongoing project. In this project i will detect tumor region in brain. I will also try to calculate the area of the tumor region part .To do the project i am considering dataset of 187 MRI images. Fuzzy C-means clustering is used for the segmentation of the image to detect the suspicious region in the brain MRI image. I am applying SVM technique to classify the brain MRI image.
MATLAB scripts to convert .mhd files into .jpgs by writing to folders specified by user, primarily for BRATS dataset. [not the most efficient!]
Pattern Recognition Term Project
Coupled Dictionary Learning based Multi-contrast MRI Reconstruction
Detect CMVR from regular eye image, using Sparse Coding, Dictionary Learning and SVM.
Compressed Sensing using NMF
自己搜集和改写的压缩感知相关程序代码
Compressed-sensing-diffusion-lung-MRI
Implementation of Image compression using DCT
Compressed sensing and denoising of images using sparse representations
Implementation of ICCV 2019 paper "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"
Compressive Sensing using Sparse Dictionary Learning
重庆大学Beamer模板 --- CQUBeamerTemplate
This is a dictionary based method to detect cracks and loads on beems, truss and plates. This uses compressed accelerometer responses for the dictionary and uses COMPRESSIVE SENSING to compress and extract the data
Compressive Sensing via Locally-Competitive Neural Network
Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system
Matlab code for compressive sensing
Compressed Sensing for improved radar target classification
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.