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Create an iRobot to autonomously navigate a maze. The maze will consist of black lines on a white surface. Your robot will be placed at the start of the maze, faced in any direction (my choice).
The main purpose of this assignment is to find out via statistical analysis the probability distribution of the numerical data contained in a *.csv (comma separated) file.
Write out the commands which will create the following matrix. You can use just special matrix commands.
Use MATLAB to solve the given system of linear equations
Determines the volume of the water in the tank from the position (height h) of the float.
This assignment is to use Reinforcement Learning to solve the following ‘Windy Grid World’ problem.
Can a single Neuron implement each of the functions? If so, describe the structure of a Neuron that implements it; if not, discuss and explain why not.
Using Huckel theory, write a program which solves for the molecular orbitals and energy levels in a conjugated or aromatic hydrocarbon.
In this work, it is needed to investigate the best method to embed watermark image into fingerprint image. We need to compare between high, middle and lower frequency coefficients and find the best
Write down a MATLAB function (upper Triangle) by using the functions you previously made to transform a matrix to upper triangular form.
Use the rand function to combinations with a rounding function to create a user defined function which returns a simulation of one roll of a dice.
Write a function which solves a system of linear equations or calculates the inverse of the matrix by Gauss-Jordan elimination and function must accept a matrix as an argument and return a matrix of t
You are given a binary image consisting of only zeros and ones, see image. Apply required morphological operations and give the output images on the grid.
Write a computer program to develop a Linear Support Vector Machine SVM. Your program must be capable to incorporate and answer the questions.
Write a computer program to develop a Linear Support Vector Machine SVM. Discuss how you can increase the generalization property of your Linear SVM?