#pre-processing

Given two strings, determine the total number of characters to be deleted such that they become anagrams. We use counting sort to create buckets of each character frequency to derive an optimal solution.

Question: Given a two strings, find the minimum number of characters that must be deleted to make them anagrams.Input: str1 = “a b c”, str2 = “a m n o p”Output: 6 Let us try to understand this problem statement and its test case first. We have two strings of english alphabet which may or may not have the same length. Anagrams are two words with same characters and frequencies. It is not…

Given an array of strings strs, you need to group all the anagrams together. You can return the answer in any order. You can either group by sorting the characters or by frequency. The latter gives you a better time complexity.

Question: Given an array of strings strs, you need to group all the anagrams together. You can return the answer in any order.Input: strs = ["eat", "tea", "tan", "ate", "nat", "bat"]Output: [["bat"], ["nat", "tan"], ["ate", "eat", "tea"]] Let us try to understand the problem statement and its test cases first. You are provided with an array that has some strings. You need to group all the…

[Hackerrank] - Sherlock and the Valid String. Given a string, it is valid if all the characters occur same number of times.

Question: Given a string, Sherlock considers it valid if all the characters in the string occur the same number of time. However, a string is also valid if the frequencies are same after removing any one character.

Example 1: Input: str = “aabbcd” Output: NO

Example 2: Input: str = “abcc” Output: YES

Problem Statement:

Let us try to simplify the problem statement first.

Sherlock needs to…

[Hackerrank] – Two Strings Solution

Question: Given two strings, determine if they share a common sub-string.

Input: “a” and “art”

Output: YES

Problem Statement

Let me try to simplify this problem statement first.

You are given two strings, and you need to find out if they share a common sub-string or not. If you can find a common sub-string, output “YES”, else output “NO”. Note that you don’t have to find out what is the…

Analyzing algorithms can be pretty handy in a lot of scenarios. It can help you to make a better judgement to solve a problem. Read the post to know more about it.

There can be several aspects when you think about analysis of algorithms. You may be writing a large scale application where you have to decide between two choices. You may be trying to submit a solution to some online competition and you want a higher score, or probably you may just want to write fewer lines of code.

Fig: Analysis of Algorithms Analysis during an Interview

Let’s say you…

Given two strings str1 and str2. Write a function to determine if str1 is an anagram of str2.

Example 1: str1 = “listen”, str2 = “silent” Output = True

Example 2: str1 = “mississippi”, str2 = “mips” Output = False

Terminology:

Anagram: Two words or phrases are said to be anagrams of each other if they can be formed by re-shuffling of characters in one of them.

Fig: Example of an…

First unique character in a string

You are given a string with some repeating characters and some unique characters. Find the first unique character and return its index.

Example 1: Input: studyAlgorithms Output: 2

Example 2: Input: iLoveToCode Output: 0

Problem Statement:

I want to simplify the problem statement first before we begin to solve it. An input string consists of some uppercase and lowercase characters which may or may…

Tumor Detection and Classification of MRI Brain Images using SVM and DNN

by Sanmathi. R | Sujitha. K | Susmitha. G | Gnanasekaran. S "Tumor Detection and Classification of MRI Brain Images using SVM and DNN"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30192.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30192/tumor-detection-and-classification-of-mri-brain-images-using-svm-and-dnn/sanmathi-r

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