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Recent questions and answers in Projects
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GATE2020 Practice Test 2: General Aptitude-1
The relational DBMS is constructed on relational principles which are based on A) The matrix theory B) Axiomatic principles C) Primary key D) Primary & foreign key relationship
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Jul 24
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GATE2020 Practice Test 2: General Aptitude-2
In relational DBMS, the closure of functional dependencies facilitates A) To determine the candidate key B) To determine the foreign key C) To determine the dependency of an attribute with other attribute/s D) None of these
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Jul 24
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GATE2020 Practice Test 2: General Aptitude-3
The process of normalization is used to A) Enhance the number of relations B) Determine the relationship between different relations C) Minimize the redundancies & eliminate anomalies D) Ease the computational work.
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Jul 24
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GATE2020 Practice Test 2: General Aptitude-4
The schema for the entire database is based on designed using A) Data definitional language B) Structured query language C) Data manipulation language D) Schema structure language
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Arjun
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GATE2020 Practice Test 2: General Aptitude-5
The difference between the structured query language and the programming relationship language is that A) Structured query language does not contain answer to how ? about computation B)Programming language does not contain the ... between consecutive stages there exist ________. activities documents amphisbaena documents design documents software
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Doubt about OS
i have one doubt ...we know that ready , running and block waiting are lies inside main memory but it saying that when the process are in running state then process are suppose to given to CPU so when we have done with given of process to CPU how we can say that the process are in RAM or Running state are in RAM...please reply it is actually funny question .
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Mar 22
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Compilers, Architecture, HPC
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allSystemsDown
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operating-system
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Seminar and Major Project
Hello! Can anyone suggest very latest topics for seminar? I also need good and innovative ideas for major project in CSE. Thanks! P.S : It is not limited to machine learning. You can give ideas from any domain of computer science.
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Feb 15
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Machine Learning
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Sandy Sharma
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seminar
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8
Introduce the concept of numerical equivalence "~" of sets
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Dec 1, 2018
in
Machine Learning
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Shivani Vishen
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7
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48
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relations
set-theory&algebra
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9
Can I trust on line majestic essay service?
I am confused about online majestic essay writing services. Since it is a paid service I am worried that whether I will get cheated from those sites. When I searched for dissertation writing service I found a lot of sites. Should I get ... delivery and i heard that this is one of the best essay writing service .How could I trust writers of every site?
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Aug 4, 2018
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Compilers, Architecture, HPC
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Jamesscully
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write-my-essay
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best-write-my-essay-service
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compiler
parser.y:27:10: fatal error: frontend.h: No such file or directory #include <frontend.h> ^~~~~~~~~~~~ compilation terminated. how to remove this error?? what to do..?
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Aug 2, 2018
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Compilers, Architecture, HPC
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Suja1994
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29
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18
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compiler-design
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lex program
%{ #include<stdio.h> int vowels=0; int cons=0; %} %% [aeiouAEIOU] {vowels++;} [a-zA-Z] {cons++;} %% int yywrap() { return 1; } int main( ) { printf("Enter the string..at end press^d\n"); yylex(); printf("No of vowels = ... cons); return 0; } when i run this program in ubuntu . iam able to enter the string but it does print the line for counting vowels and consonants
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Aug 1, 2018
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Compilers, Architecture, HPC
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Suja1994
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29
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72
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0
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12
She said to me"do you know the person you are living with was thief (narration
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Jul 2, 2018
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Pure Web Development
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Rahul Ranjan 1
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161
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59
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english-grammar
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3
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13
How to make user authenticated Internet Acceess
I wanted to convert my home modem to coffee shop and give internet to my customers . But due to security reasons users should register their mobile before they get access to inernet. How can I build this project ? Where should I start with ? Currently i have got D-Link modem
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May 2, 2018
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Pure Web Development
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Ashish Patel
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343
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270
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project
internet-access
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14
Computer Science
(c) The following are some assembly language instructions of a hypothetical CPU. The instructions are written to find the remainder when 16 is divided by 7 and store the remainder in a memory location location assembly instruction 0 load 16 1 sub 7 2 bge ... conversions: (i) Convert 0101 10012 to decimal. (ii) Convert 4E16 to decimal. (iii) Convert 1100 00112 to hexadecimal.
asked
Apr 6, 2018
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Compilers, Architecture, HPC
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CYKWAN
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7
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15
Using karnaugh map ,show the expression Y='BC+B'C+BC
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Mar 1, 2018
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Compilers, Architecture, HPC
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Kalu30
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15
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63
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0
votes
1
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16
Naive Bayes Algorithm
What is the step by step procedure to apply algorithms like Decision Tree, Naive Bayes, etc... on a dataset using Python?
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Feb 22, 2018
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Big Data/Data Analytics
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Digvijay Pandey
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conditional-probability
probability
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machine-learning
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Web desinging
[closed]
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Feb 15, 2018
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Pure Web Development
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Kanchan kumari
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223
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89
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+2
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0
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18
image processing
Could anyone help me with me image processing topic as I have done my Btech project in noise reduction in images but I have tried only those filters which are already existing but haven't done anything new in it. I need to prepare it for IIIT H interview.
asked
May 24, 2017
in
Compilers, Architecture, HPC
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Adiaspirant
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717
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171
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+2
votes
1
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19
Interest
Has anybody tried their hands in Raspberry Pi? Or have an experience with Arduino?? I meant in terms of practical exposure. If yes, kindly share your valuable insights and thoughts as well.
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Apr 3, 2017
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Compilers, Architecture, HPC
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s9k96
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arduino
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UGCNET-Sep2013-III-28
In a single perceptron, the updation rule of weight vector is given by $w(n+1) = w(n) + \eta [d(n)-y(n)]$ $w(n+1) = w(n) - \eta [d(n)-y(n)]$ $w(n+1) = w(n) + \eta [d(n)-y(n)]*x(n)$ $w(n+1) = w(n) - \eta [d(n)-y(n)]*x(n)$
answered
Jul 24, 2016
in
Machine Learning
by
Sanjay Sharma
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ugcnetsep2013iii
neural-network
machine-learning
+1
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2
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21
UGCNET-Dec2012-III-73
Match the following: a. Supervised learning 1. The decision system receives rewards for its action at the end of a sequence of steps b. Unsupervised learning 2. Manual labels of inputs are not used c. Re-inforcement learning 3. Manual labels of inputs are used d. Inductive learning 4. System learns by example a b c d A 1 2 3 4 B 2 3 1 4 C 3 2 4 1 D 3 2 1 4
answered
Jul 13, 2016
in
Machine Learning
by
shekhar chauhan
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45.6k
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501
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ugcnetdec2012iii
machine-learning
0
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1
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22
UGCNET-Dec2012-II-46
Back propagation is a learning technique that adjusts weights in the neutral network by propagating weight changes. Forward from source to sink Backward from sink to source Forward from source to hidden nodes Backward from sink to hidden nodes
answered
Jul 11, 2016
in
Machine Learning
by
sh!va
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638
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ugcnetdec2012ii
machine-learning
data-mining
back-propagation
+2
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1
answer
23
UGCNET-June2012-III-2
In Delta Rule for error minimization weights are adjusted w.r.to change in the output weights are adjusted w.r.to difference between desired output and actual output weights are adjusted w.r.to difference between output and output none of the above
answered
Jul 7, 2016
in
Machine Learning
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shekhar chauhan
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680
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ugcnetjune2012iii
artificial-intelligence
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