Rashmi Ranjan Rout
Biographic Data
| ID | 8141197 |
|---|---|
| NAME | Rashmi Ranjan Rout |
| GIVEN NAMES | Rashmi Ranjan |
| FAMILY NAME | Rout |
| SIGNATURE | ROUT R R |
| AFFILIATIONS | National Institute of Technology Warangal |
| ORCID | 0000-0003-3457-6633 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A novel weighted majority voting-based ensemble approach for detection of road accidents using social media data
Flacorm
Prevalence of trichomonas vaginalis and candida species among women of reproductive age group
Background: Vaginal infections are common among women of reproductive age. They can be caused by sexually transmitted microorganisms or by some disorder resulting in the proliferation of endogenous microbiota. Among the more frequent microorganisms are the protozoan Trichomonas vaginalis (T. vaginalis) and Candida albicans (C. albicans). Aim of this study to find out the Prevalence of Trichomonas vaginalis & Candidia species (primary) and socio-d…
Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network
Malicious social bots generate fake tweets and automate their social relationships either by pretending like a follower or by creating multiple fake accounts with malicious activities. Moreover, malicious social bots post shortened malicious URLs in the tweet in order to redirect the requests of online social networking participants to some malicious servers. Hence, distinguishing malicious social bots from legitimate users is one of the most imp…
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Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network
Malicious social bots generate fake tweets and automate their social relationships either by pretending like a follower or by creating multiple fake accounts with malicious activities. Moreover, malicious social bots post shortened malicious URLs in the tweet in order to redirect the requests of online social networking participants to some malicious servers. Hence, distinguishing malicious social bots from legitimate users is one of the most imp…
Prevalence of trichomonas vaginalis and candida species among women of reproductive age group
Background: Vaginal infections are common among women of reproductive age. They can be caused by sexually transmitted microorganisms or by some disorder resulting in the proliferation of endogenous microbiota. Among the more frequent microorganisms are the protozoan Trichomonas vaginalis (T. vaginalis) and Candida albicans (C. albicans). Aim of this study to find out the Prevalence of Trichomonas vaginalis & Candidia species (primary) and socio-d…
Flacorm
A novel weighted majority voting-based ensemble approach for detection of road accidents using social media data
Computer Science (3 works) · Artificial Intelligence (2 works) · Machine learning (2 works) · Social media (2 works) · ANT (1 work) · Ant colony optimization algorithms (1 work) · Biology (1 work) · Botnet (1 work) · Candida albicans (1 work) · Cervical Cancer and HPV Research (1 work)