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Brain Color Image Segmentation
- Color Image Segmentation using self organizing maps
Brain-Tumor-Classification-and-Detection-Machine-Learning
- The proposed system scans the Magnetic Resonance images of brain. The scanning is followed by preprocessing which enhances the input image and applies filter to it. After enhancement, the image undergoes segmentation and feature extractions. Based on
Tumor Detection & Extraction from MRI Scans of the Human Brain
- Medical imaging analysis provides a very informative and comprehensive insight into diagnosing diseases and in treating health problems.
MRI Brain image using Clustring
- The Clustring method involves taking an MRI image of the brain, run it through a number of filtering and analytical processes to determine whether
prediction_appliances
- It is a machine learning based regression model implemented in python in which predicts the energy consumption of a house at a particular time span based on temperature and humidity of each rooms and other external factors such wind speed, visibility
Multiple-Linear-Regression
- Time series regression is a statistical method for predicting a future response based on the response history (known as autoregressive dynamics) and the transfer of dynamics from relevant predictors. Time series regression can help you understand and
Energy-Consumption-Prediction
- This project focuses on the energy consumption of electrical appliances which are normally used in a low energy consumption house. An IOT based Wireless Sensor is used to track the temperature and humidity conditions of the rooms of the house which
Energy_consumLSTM
- In this project I have trained RNN model to predict the energy consumption by home appliences. The Dataset used in this project is available on UCI Machine learning libraby.
Appliance-Energy-Prediction
- The project work focuses on performing time series analysis and modeling on a time series data. The data used in the project is recorded based on the amount of energy consumed by appliances in a household for 4.5 months. The project applies all
Medical Image Segmentation
- Various tools used to segmentating the medical image (MRI - Brain)
Brain Image Segmentation using SOM
- Kohonen and K-Means Algorithm used to used to segmentating the medical images