S Abirami
Biographic Data
| ID | 7989435 |
|---|---|
| NAME | S Abirami |
| GIVEN NAMES | S |
| FAMILY NAME | Abirami |
| SIGNATURE | ABIRAMI S |
| AFFILIATIONS | Saveetha University |
| ORCID | 0009-0003-0353-6425 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
An Efficient Crop Field Disease Prediction Using A Novel Parallel Mini Patch Aggregation Neural Network (Pmpann)
The major sources for gross domestic product among the developing countries across the world is agriculture. The nature and amount of crop cultivated along with its yield in each region varies with soil and climate. Additionally, the crop yield is affected by the disease. Paddy is the major food crops cultivated in several parts and it succumbs to several diseases. The farmers often find it hard to predict the nature of disease over the paddy cro…
Efficacy of biosynthetically developed selenium nanoparticles using plant extracts of clove and cardamom
Background: The green approachable metal nanoparticles are treated to be an eco-friendly path and cost-effectiveness. In this present study, nano selenium was synthesized profitably by clove and cardamom. Methods: Green synthesis of selenium nanoparticles was preliminarily confirmed by color changing from dark orange to red color in the reaction mixture. The resulting constructed nanoparticles were characterized by using ultraviolet spectroscopy …
Reliability evaluation of 3-D models when compared with plaster models for mixed dentition analysis
AIM: Inclination towards digital models in orthodontics is increasing and several software programs are available to perform virtual model analyses for diagnosis & treatment planning. The aim of this study was to compare as well assess the accuracy and validity of 3D models over plaster casts for mixed dentition analysis. MATERIALS AND METHODS: This prospective cross-sectional study was conducted on 16 children from the age group of 8-13 years wi…
Species classification of aquatic plants using GRNN and BPNN
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Species classification of aquatic plants using GRNN and BPNN
Efficacy of biosynthetically developed selenium nanoparticles using plant extracts of clove and cardamom
Background: The green approachable metal nanoparticles are treated to be an eco-friendly path and cost-effectiveness. In this present study, nano selenium was synthesized profitably by clove and cardamom. Methods: Green synthesis of selenium nanoparticles was preliminarily confirmed by color changing from dark orange to red color in the reaction mixture. The resulting constructed nanoparticles were characterized by using ultraviolet spectroscopy …
Reliability evaluation of 3-D models when compared with plaster models for mixed dentition analysis
AIM: Inclination towards digital models in orthodontics is increasing and several software programs are available to perform virtual model analyses for diagnosis & treatment planning. The aim of this study was to compare as well assess the accuracy and validity of 3D models over plaster casts for mixed dentition analysis. MATERIALS AND METHODS: This prospective cross-sectional study was conducted on 16 children from the age group of 8-13 years wi…
An Efficient Crop Field Disease Prediction Using A Novel Parallel Mini Patch Aggregation Neural Network (Pmpann)
The major sources for gross domestic product among the developing countries across the world is agriculture. The nature and amount of crop cultivated along with its yield in each region varies with soil and climate. Additionally, the crop yield is affected by the disease. Paddy is the major food crops cultivated in several parts and it succumbs to several diseases. The farmers often find it hard to predict the nature of disease over the paddy cro…
Biology (2 works) · Computer Science (2 works) · Smart Agriculture and AI (2 works) · Absorbance (1 work) · Activation function (1 work) · Agar diffusion test (1 work) · Anatomy and Medical Technology (1 work) · Antimicrobial (1 work) · Aquatic plant (1 work) · Artificial Intelligence (1 work)