Jayakumar Kaliappan
Biographic Data
| ID | 10000469 |
|---|---|
| NAME | Jayakumar Kaliappan |
| GIVEN NAMES | Jayakumar |
| FAMILY NAME | Kaliappan |
| SIGNATURE | KALIAPPAN J |
| AFFILIATIONS | Vellore Institute of Technology University |
| ORCID | 0000-0002-6044-6667 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A comprehensive review on NUI, multi-sensory interfaces and UX design for applications and devices for visually impaired users
In today’s world, there has been a significant increase in the use of devices, gadgets, and mobile applications in our daily activities. Although this has had a significant impact on the lives of the general public, people who are Partially Visually Impaired SPVI, which includes a much broader range of vision loss that includes mild to severe impairments, and Completely Visually Impaired (CVI), who have no light perception, still face significant…
Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate
This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection algorithms and hyperparameter tuning on prediction. Sixteen features (for example, Total_cases_per_million and Total_deaths_per_million) related to si…
No prominent works on this page.
Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate
This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection algorithms and hyperparameter tuning on prediction. Sixteen features (for example, Total_cases_per_million and Total_deaths_per_million) related to si…
A comprehensive review on NUI, multi-sensory interfaces and UX design for applications and devices for visually impaired users
In today’s world, there has been a significant increase in the use of devices, gadgets, and mobile applications in our daily activities. Although this has had a significant impact on the lives of the general public, people who are Partially Visually Impaired SPVI, which includes a much broader range of vision loss that includes mild to severe impairments, and Completely Visually Impaired (CVI), who have no light perception, still face significant…
Computer Science (2 works) · Artificial Intelligence (1 work) · COVID-19 diagnosis using AI (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Pandemic Impacts (1 work) · Feature selection (1 work) · Gaze Tracking and Assistive Technology (1 work) · Gradient boosting (1 work) · Human–computer interaction (1 work) · Hyperparameter (1 work)