Praveen Rao
Biographic Data
| ID | 6186331 |
|---|---|
| NAME | Praveen Rao |
| GIVEN NAMES | Praveen |
| FAMILY NAME | Rao |
| SIGNATURE | RAO P |
| AFFILIATIONS | University of Missouri |
| ORCID | 0000-0003-3199-7803 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Social Service Workers’ Use of Social Media to Obtain Client Information
To gain insight into current use of social-media platforms in human services delivery, we systematically surveyed 172 social-service workers from six agencies in a Midwest US city to gather data about social-media usage among social-service providers, potential challenges and benefits of using social media, and whether a social-media-based informatics platform could be valuable. Quantitative analyses showed that approximately half of participants…
Character Recognition Of Seventeenth-Century Spanish American Notary Records Using Deep Learning
Handwritten character recognition is a challenging pattern recognition problem due to the inconsistency of the handwritten scripts and the lack of accurate labeled data. Historical documents written in cursive are even more challenging as characters have unique and varying shapes. Frequently, words are linked by lines and ornamental doodles. When historical documents are digitized, the images contain various types of noise and degradation, which …
No prominent works on this page.
Character Recognition Of Seventeenth-Century Spanish American Notary Records Using Deep Learning
Handwritten character recognition is a challenging pattern recognition problem due to the inconsistency of the handwritten scripts and the lack of accurate labeled data. Historical documents written in cursive are even more challenging as characters have unique and varying shapes. Frequently, words are linked by lines and ornamental doodles. When historical documents are digitized, the images contain various types of noise and degradation, which …
Social Service Workers’ Use of Social Media to Obtain Client Information
To gain insight into current use of social-media platforms in human services delivery, we systematically surveyed 172 social-service workers from six agencies in a Midwest US city to gather data about social-media usage among social-service providers, potential challenges and benefits of using social media, and whether a social-media-based informatics platform could be valuable. Quantitative analyses showed that approximately half of participants…
Business (1 work) · Character recognition (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Cursive (1 work) · Data science (1 work) · Deep learning (1 work) · Digital Mental Health Interventions (1 work) · Engineering (1 work) · Handwritten Text Recognition Techniques (1 work)