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Dr. Manju Vyas
Dr. Manju Vyas
Assoc. Prof JECRC Jaipur
Verified email at jecrc.ac.in
Title
Cited by
Cited by
Year
A Review on Software Cost and Effort Estimation Techniques for Agile Development Process.
M Vyas, A Bohra, CS Lamba, A Vyas
International Journal of Recent Research Aspects 5 (1), 2018
272018
Diversity of arbuscular mycorrhizal fungi associated with rhizosphere of Capsicum annuum in Western Rajasthan
M Vyas, A Vyas
International Journal of Plant, Animal and Environmental Sciences 2 (3), 256-262, 2012
152012
Predicting effort of agile software projects using linear regression, ridge regression and logistic regression
M Vyas, N Hemrajani
Int. J. Tech. Phys. Probl. Eng 13 (2), 14-19, 2021
52021
Effect of Dimensionality Reduction on Prediction Accuracy of Effort of Agile Projects Using Principal Component Analysis
MM Vyas, N Hemrajani
IOP Conference Series: Materials Science and Engineering 1099 (1), 012008, 2021
12021
Machine Learning Methods For Big Data Processing
A Parwal, K Yadav, A Sharma, M Vyas
PRATIBODH, 2023
2023
Data Science Review: Mathematics in Ancient Art
A George, M Vyas
PRATIBODH, 2023
2023
Computer Vision–GANs and 3 dimensional CNN
A Jain, M Vyas
PRATIBODH 3 (2), 2023
2023
Decoding Machine Learning: Transparency Matters
A Jain, M Vyas
PRATIBODH, 2023
2023
A novel approach for optimization of effort estimation of agile projects using SVC_RBF along with neural network backpropagation
M Vyas, N Hemrajani
Journal of Information and Optimization Sciences 43 (8), 2089-2098, 2022
2022
Various Techniques for Spam Filtering Using Machine Learning Algorithms
nternational Journal of Emerging Technology and Advanced Engineering ISSN …, 2018
2018
A COMPARATIVE ANALYSIS OF MULTIPLE LINEAR REGRESSION, DECISION TREE AND RANDOM FOREST MODELS FOR SOFTWARE EFFORT ESTIMATION IN AGILE DEVELOPMENT
M Vyas
"International Journal of Computer Engineering and Applications ISSN No …, 2018
2018
PREDICTING EFFORT OF AGILE SOFTWARE PROJECTS USING LINEAR REGRESSION, RIDGE REGRESSION AND LOGISTIC REGRESSION
MVN Hemrajani
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