Computer Science
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![In this practice class, we will study the use of the fork() and execlp() functions in combination. See the skeleton code given here. - Skeleton C Program: fork + execlp #include #include int main (int argo, char *argv[]) { int pid; /* fork another process */ pid = fork(); if (pid < 0) { /* error occurred */ fprintf (stderr, "Fork Failed"); exit (-1); } else if (pid == 0) { /* child process */ execlp ("/bin/ls", "ls", NULL); } else { /* parent process */ /* parent will wait for the child to complete */ wait (NULL); printf ("Child Complete"); exit (0); } } Assignment: Q1. Write a C code for implementing fork + execlp combination where execlp is used in child to do the following: (A) starts a simple program printing "Hello World" on the screen, and then (B) uses the system() function to execute the "ps" command. The parent process uses the system() function to execute the "ls" command and then waits for the child to finish. Measure the total time to execute the program using the system clock.](https://gotit-pro.com/wp-content/uploads/2023/10/c8bc7bae-c712-420c-9e67-af9b967228fa.png)
In this practice class we will study the use of fork and execlp functions in a combination See
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Build a java application that provides a twoitem menu The Collection ADT and the List ADT 1 The
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This python program must be created using modular programming techniquesonly No
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in python please715 LAB Warm up Peoples weights Lists1 Prompt the user to enter four
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begintabularll hline key value hline HST Hawaii Standard Time hline AKDT
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3 Create a python program that determines the dimension of the following set as well as a basis for
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WRITE PYTHON CODEObjective The objective of this assignment is to practice data preprocessing
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In PythonThe purpose of a graph is to represent various constructs in the real world Miles between
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![2a. Write a Python program to perform supervised classification on the Iris and Indian Pines datasets using Naive Bayes, Support Vector Machines (with RBF kernel), and Multi-layer Perceptron (MLP) classifiers for training sizes ={10%,20%,30%,40%,50%} for each of the below cases: i) With dimensionality reduction - Reduce data based on your choice of 'K' dimensions from 1a using each of the dimensionality reduction methods (PCA) followed by supervised classification by the listed classifiers. ii) Without dimensionality reduction - Data is followed by supervised classification using the listed classifiers. iii) Provide the plots for overall training accuracy, and overall classification accuracy versus the training size for all methods (classification schemes). Tabulate the classwise classification accuracies (i.e. extension of the sensitivity and specificity values) only for 30% training size over all methods for each dataset for case ii) i.e. without dimensionality reduction. Please note that the point distribution is as follows: - Total 4 plots, i.e. 2 plots for each dataset [case i and ii, overall training, and testing accuracy] - 2 tables (classwise accuracy), i.e, 1 table per dataset - Total points available: 30 points (5 points per plot/table)](https://gotit-pro.com/wp-content/uploads/2023/10/638be90e-4e3d-41db-a9d6-5279466b2f80.jpg)
2a Write a python program to perform supervised classification on the Iris and Indian Pines
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Problem Requirements Write a C program that takes a 1D array of integers as input and outputs the
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Option 6 Update an evaluation grade for one student The program asks the user to enter the ID of
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Goal For this project you will need to write a complete Java program You do not need to submit a
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