Pinned Repositories
BreathingAnomalyDetection
This is part of an NSF funded project on human respiration monitoring using infrared sensing. Here, anomaly detection was performed on the breathing data through machine learning based data classification.
ConvolutionalNeuralNet
Different types of convolutional neural networks have been implemented using Keras API of Tensorflow in colab notebook. Also, the basic convolution operation on an input matrix using a kernel matrix has been demonstrated.
Decision_tree
Classification of housing data by decision tree has been done. Effect of regularization (limiting maximum depth of tree) has been observed.
Digital_Image_Acquisition
Project 1 on digital image processing
Image_Denoising_and_Wiener_Filtering
Project 4 on Digital Image Processing
Image_Enhancement_in_Frequency_Domain
Project 3 on Digital Image Processing
Image_Enhancement_in_Spatial_Domain
Project 2 on digital image processing
K_means_clustering
An image has been read using python code and K-means clustering has been performed on it. K is taken as an input
K_nearest_neighbors
Classification of housing data by K-nearest neighbour algorithm and choosing optimum K value.
Object_Counting_in_Images_by_Morphological_Processing
Project 5 on Digital Image Processing
Zobaer's Repositories
Zobaer/Image_Denoising_and_Wiener_Filtering
Project 4 on Digital Image Processing
Zobaer/BreathingAnomalyDetection
This is part of an NSF funded project on human respiration monitoring using infrared sensing. Here, anomaly detection was performed on the breathing data through machine learning based data classification.
Zobaer/ConvolutionalNeuralNet
Different types of convolutional neural networks have been implemented using Keras API of Tensorflow in colab notebook. Also, the basic convolution operation on an input matrix using a kernel matrix has been demonstrated.
Zobaer/Decision_tree
Classification of housing data by decision tree has been done. Effect of regularization (limiting maximum depth of tree) has been observed.
Zobaer/Digital_Image_Acquisition
Project 1 on digital image processing
Zobaer/Image_Enhancement_in_Frequency_Domain
Project 3 on Digital Image Processing
Zobaer/Image_Enhancement_in_Spatial_Domain
Project 2 on digital image processing
Zobaer/K_means_clustering
An image has been read using python code and K-means clustering has been performed on it. K is taken as an input
Zobaer/K_nearest_neighbors
Classification of housing data by K-nearest neighbour algorithm and choosing optimum K value.
Zobaer/Object_Counting_in_Images_by_Morphological_Processing
Project 5 on Digital Image Processing
Zobaer/Regression
This project demonstrates single variable regression with polynomial basis function (SingleVarRegression.ipynb) and multi-variable regression (MultipleFeatureRegression.ipynb)
Zobaer/Shape_Representation_in_Images
Project 6 on Digital Image Processing
Zobaer/TVWS
The project objective was to provide broadband internet connectivity (both trial and live connection) using Television Whitespace in OK, USA and evaluate network performance through data colelction and analysis.
Zobaer/UVA_Problems
My solutions to UVA online judge problems will be uploaded here from time to time.
Zobaer/Visualizing_Interference_Fringe
In this project, the interference fringe created due to superposition of monochromatic light waves originating from two coherent point sources separated by a small distance relative to the distance between the sources and the screen are shown using MATLAB code.