K Ashwini
Biographic Data
| ID | 8175149 |
|---|---|
| NAME | K Ashwini |
| GIVEN NAMES | K |
| FAMILY NAME | Ashwini |
| SIGNATURE | ASHWINI K |
| AFFILIATIONS | ESIC Hospital |
| ORCID | 0000-0001-5624-6024 |
| VERIFIED | Yes |
| 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 |
In Vitro Study to Compare Antibacterial Efficacy of Cinnamon Extract, Neem Extract and Sodium Hypochlorite as Root Canal Irrigants
Background: E. faecalis is the predominant micro-organism recovered from root canal of the teeth where previous endodontic treatment has failed. Thorough debridement and complete elimination of micro-organisms are objectives of an effective endodontic treatment. For many years, intracanal irrigants have been used as an adjunct to enhance antimicrobial effect of cleaning and shaping in endodontics. Aim: The aim of the study is to compare the antib…
Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio signals in recent days. In deep learning techniques, it automatically extracts and selects the most important features. For this, it requires an enormous amount of data for effective classification. This …
No prominent works on this page.
Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio signals in recent days. In deep learning techniques, it automatically extracts and selects the most important features. For this, it requires an enormous amount of data for effective classification. This …
In Vitro Study to Compare Antibacterial Efficacy of Cinnamon Extract, Neem Extract and Sodium Hypochlorite as Root Canal Irrigants
Background: E. faecalis is the predominant micro-organism recovered from root canal of the teeth where previous endodontic treatment has failed. Thorough debridement and complete elimination of micro-organisms are objectives of an effective endodontic treatment. For many years, intracanal irrigants have been used as an adjunct to enhance antimicrobial effect of cleaning and shaping in endodontics. Aim: The aim of the study is to compare the antib…
Antimicrobial (1 work) · Artificial Intelligence (1 work) · Bacteria (1 work) · Biology (1 work) · Chemistry (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Deep learning (1 work) · Dentistry (1 work) · Endodontics (1 work)