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Suganthan C

Biographic Data

ID9756537
NAMESuganthan C
GIVEN NAMESC
FAMILY NAMESuganthan
SIGNATUREC S
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Intertextualizing Interactive Texts for Teaching Synonyms Using Digital Platforms

    Open Access•F Joseph Desouza Kamalesh, Suganthan C et al.•ARTICLE•Journal of Language Teaching and…•2024

    With Content and Language Integrated Learning (CLIL) gaining greater attention in English Language Teaching, more emphasis has been given to teaching content-based vocabulary to students. However sufficient attention has not been given to widening the students' knowledge to make them learn synonyms (equivalent words). In this research, we explore the possibilities of teaching synonyms to First Year College students using Interactive Texts. This i…

  • Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate

    Open Access•Jayakumar Kaliappan, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2021

    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…

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  • Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate

    Open Access•Jayakumar Kaliappan, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2021

    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…

  • Intertextualizing Interactive Texts for Teaching Synonyms Using Digital Platforms

    Open Access•F Joseph Desouza Kamalesh, Suganthan C et al.•ARTICLE•Journal of Language Teaching and…•2024

    With Content and Language Integrated Learning (CLIL) gaining greater attention in English Language Teaching, more emphasis has been given to teaching content-based vocabulary to students. However sufficient attention has not been given to widening the students' knowledge to make them learn synonyms (equivalent words). In this research, we explore the possibilities of teaching synonyms to First Year College students using Interactive Texts. This i…

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) · Gradient boosting (1 work) · Hyperparameter (1 work) · Lexicography and Language Studies (1 work) · Linear regression (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae