Sensitivity Analysis of Project using Machine Learning-Reference-Cited by-同舟云学术

Sensitivity Analysis of Project using Machine Learning

Published:2023-03-01 Issue: Volume: Page:197-202
ISSN:2394-4099
Container-title:International Journal of Scientific Research in Science, Engineering and Technology
language:en
Short-container-title:IJSRSET

Author:

Chauhan Harshwardhansinh K.¹,Degadwala Sheshang²

Affiliation:

1. Department of Computer Engineering, Sigma Institute of Engineering, Gujrat Technological University, Gujarat, India

2. Associate Professor & Head of Department, Department of Computer Engineering, Sigma University, Vadodara, Gujarat, India

Abstract

This paper expects to lead a writing survey of patterns and techniques for machine learning utilized for the Sensitivity Analysis of our Project Sensitivity analysis permits to assess how the subsequent presentation of the venture at various upsides of given factors expected for computation. This kind of examination to decide the most basic factors that have the best effect on the plausibility and adequacy of the undertaking.

Publisher

Technoscience Academy

Subject

General Medicine

Reference10 articles.

1. Harshwardhansinh K. Chauhan, Dr. Sheshang Degadwala, "Project Base Prediction Using Machine Learning and Deep Learning", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.22-29, March-April2023. Available at doi : https://doi.org/10.32628/CSEIT2390150 Journal URL : https://ijsrcseit.com/CSEIT2390150

2. Rajan Kumar Data Refinery with Big Data Aspects October 2013 Conference: International Conference on Recent Trends in Computing (ICRTC 2013) At: SRM University, NCR Campus, Volume: ISBN: 978-93-83083-34-3

3. Ruju Shah∗, Vrunda Shah∗, Anuja R. Nair∗, Dr. Tarjni Vyas∗, Shivani Desai∗, Dr. Sheshang Degadwala† ∗Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India † Department of Computer Engineering, Sigma Institute of Engineering, Vadodara

4. Proceedings of the Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC-2022). IEEE Xplore Part Number: CFP22OSV-ART; ISBN: 978-1-6654-6941-8- Lung Respiratory Audio Prediction using Transfer Learning Models Arohi Patel Assistant professor Sigma institute of engineering Vadodara, Gujarat, India arohipatel3010@gmail.com, Sheshang Degadwala Associate professor Sigma institute of engineering Vadodara, Gujarat, India sheshang13@gmail.com, Sheshang Degadwala Associate professor Sigma institute of engineering Vadodara, Gujarat, India

5. Proceedings of the Sixth International Conference on Electronics, Communication and Aerospace Technology (ICECA 2022) IEEE Xplore Part Number: CFP22J88-ART; ISBN: 978-1-6654-8271-4 Mihir Prajapati Mitul Nakrani Dr. Tarjni Vyas Computer Science Engineering Computer Science Engineering Assistant Professor Nirma University Nirma University Nirma University Ahmedabad, India Ahmedabad, India Ahmedabad, India 19bce128@nirmauni.ac.in

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