Uma Shankar Yadav
Biographic Data
| ID | 6899105 |
|---|---|
| NAME | Uma Shankar Yadav |
| GIVEN NAMES | Uma Shankar |
| FAMILY NAME | Yadav |
| SIGNATURE | YADAV U S |
| AFFILIATIONS | Motilal Nehru National Institute of Technology |
| ORCID | 0000-0002-5855-0983 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An ML-driven decision support system for engineering college selection post-intermediate education in India
The paper is a developed machine learning-based decision support system that will guide the choice of an engineering college by intermediate (10+2) students in India in accordance with their academic backgrounds, individual preferences and institutional characteristics. The model combines information that is heterogeneous, such as entrance exam scores, college ratings, placement scores, accreditation, tuition costs, geographic orientation and alu…
Evaluation of factors affecting entrepreneurship
In the current scenario, the level of interest is increasing in female entrepreneurship in the handicraft sector worldwide. So the primary purpose of this study is to discover the different constructs that influence women entrepreneurs in India as learner students or after completion of their degree, either skill degree or professional degree. Female entrepreneurship is an important feature of economic progress, particularly in developing nations…
Identifying the critical factors of physical gig economy usage
Since its inception, India's physical gig economy (PGE) has grown at a rapid pace. Sadly, there was a widening of the PGE service gap. Cleaning and mechanical services have had fewer transactions than ride-hailing services, which have a high volume of transactions. Studying PGE customers' motivations to use their services is the primary goal of this research. The research methodology and hypothesis were developed by synthesising previous studies …
No prominent works on this page.
Identifying the critical factors of physical gig economy usage
Since its inception, India's physical gig economy (PGE) has grown at a rapid pace. Sadly, there was a widening of the PGE service gap. Cleaning and mechanical services have had fewer transactions than ride-hailing services, which have a high volume of transactions. Studying PGE customers' motivations to use their services is the primary goal of this research. The research methodology and hypothesis were developed by synthesising previous studies …
Evaluation of factors affecting entrepreneurship
In the current scenario, the level of interest is increasing in female entrepreneurship in the handicraft sector worldwide. So the primary purpose of this study is to discover the different constructs that influence women entrepreneurs in India as learner students or after completion of their degree, either skill degree or professional degree. Female entrepreneurship is an important feature of economic progress, particularly in developing nations…
An ML-driven decision support system for engineering college selection post-intermediate education in India
The paper is a developed machine learning-based decision support system that will guide the choice of an engineering college by intermediate (10+2) students in India in accordance with their academic backgrounds, individual preferences and institutional characteristics. The model combines information that is heterogeneous, such as entrance exam scores, college ratings, placement scores, accreditation, tuition costs, geographic orientation and alu…
Business (2 works) · Craft (2 works) · Economics (2 works) · Marketing (2 works) · Analytics (1 work) · Computer Science (1 work) · Decision support system (1 work) · Digital Economy and Work Transformation (1 work) · Economic growth (1 work) · Educational Technology and Assessment (1 work)