Dr. Vikas  Thada
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Dr. Vikas Thada

Associate Professor
Amity University, India


Highest Degree
Ph.D. in Computer Science & Engineering from Dr. K.N. Modi University, India

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Area of Interest:

Computer Sciences
100%
Image Processing
62%
Genetic Algorithm
90%
Machine Learning
75%
Cryptography
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Jhingran, R.,V. Thada and S. Dhaka, 2015. A study on cryptography using genetic algorithm. Int. J. Comput. Appl., 118: 10-14.
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  2. Thada, V. and V. Jaglan, 2014. Use of genetic algorithm in web information retrieval. Int. J.Emerging Technol. Comput. Applied Sci., 7: 278-281.
  3. Thada, V. and V. Jaglan, 2014. Performance analysis of similarity coefficients in web information retrieval using genetic algorithm. Int. J. Sci. Technol. Res., 3: 9-14.
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  4. Thada, V. and S. Dhaka, 2014. Performance analysis of N-queen problem using backtracking and genetic algorithm techniques. IJCA., 102: 26-29.
  5. Thada, V. and V. Jaglan, 2014. Design of web ranking module using genetic algorithm. Int. J. Comput. Appl. 97: 43-48.
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  6. Thada, V. and S. Dhaka, 2014. Genetic agorithm based Approach to Solve Non Fractional (0/1) Knapsack Optimization Problem. Int. J. Comput. Appl., 100: 21-26.
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  7. Thada, V. and V. Jaglan, 2013. Use of genetic algorithm to find average number of generations to converge for web retrieved documents using jaccard similarity coefficient. Int. Assoc. Sci. Innovation Res., 5: 462-465.
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  8. Thada, V. and V. Jaglan, 2013. Comparison of jaccard, dice, cosine similarity coefficient to find best fitness value for web retrieved documents using genetic algorithm. Int. J. Innovations Eng. Technol., 2: 202-205.
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  9. Thada, V. and J. Sandeep, 2011. A genetic algorithm approach for improving the average relevancy of retrieved documents using jaccard similarity coefficient. Int. J. Manag. IT Eng. Jaghdhari Haryana, .
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