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Energy industry】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 facto
Update : 2023-09-05 | Size : 12342765
Energy industry】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 regressi
Update : 2023-09-05 | Size : 1945259
Energy industry】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
Update : 2023-09-05 | Size : 2601471
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Energy industry】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.
Update : 2023-09-05 | Size : 3751853
Energy industry】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.
Update : 2023-09-05 | Size : 4415669
matlab】Kohonen and K-Means Algorithm used to used to segmentating the medical images
Update : 2022-10-06 | Size : 246006
matlab】Various tools used to segmentating the medical image (MRI - Brain)
Update : 2022-10-06 | Size : 2716258
matlab】Color Image Segmentation using self organizing maps
Update : 2022-10-06 | Size : 223397
matlab】The Clustring method involves taking an MRI image of the brain, run it through a number of filtering and analytical processes to determine whether
Update : 2022-10-06 | Size : 4052
matlab】Medical imaging analysis provides a very informative and comprehensive insight into diagnosing diseases and in treating health problems.
Update : 2022-10-06 | Size : 1320
matlab】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
Update : 2022-10-06 | Size : 174779
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