Prasannavenkatesan Theerthagiri

26 papers Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
ExF-SVM: Exhaustive feature selection with support vector machine algorithm for brain stroke prediction.
Comput. Biol. Medicine
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran
2025 J jnl
Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm.
Biomed. Signal Process. Control.
Prasannavenkatesan Theerthagiri
2024 — conf
ARIMA Time Series Modelling for Energy Forecasting in Wireless Sensor Networks.
CAI
Ganeshkumar Pugalendhi, Prasannavenkatesan Theerthagiri, A. Usha Ruby
2024 J jnl
D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals.
Multim. Tools Appl.
Prasannavenkatesan Theerthagiri, A. Usha Ruby, B. N. Chaithanya, Renuka R. Patil, Swasthika Jain
2024 J jnl
Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases.
J. Big Data
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran, Tanvir Habib Sardar, Ahamed Shafeeq B. M.
2024 J jnl
Neural Machine Translation Model Using GRU with Hybrid Attention Mechanism for English to Kannada Language.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl.
Gunti Spandan, Prasannavenkatesan Theerthagiri
2024 J jnl
Prediction and classification of minerals using deep residual neural network.
Neural Comput. Appl.
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran
2024 J jnl
RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification.
Multim. Tools Appl.
Prasannavenkatesan Theerthagiri, Devarayapattana Siddalingaiah Sahana
2023 J jnl
CoFEE: Context-aware futuristic energy estimation model for sensor nodes using Markov model and autoregression.
Int. J. Commun. Syst.
Prasannavenkatesan Theerthagiri
2023 J jnl
Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms.
SN Comput. Sci.
Prasannavenkatesan Theerthagiri, A. Usha Ruby, Vidya J
2023 J jnl
Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends.
Multim. Tools Appl.
Prasannavenkatesan Theerthagiri, A. Usha Ruby
2023 J jnl
Stress emotion recognition with discrepancy reduction using transfer learning.
Multim. Tools Appl.
Prasannavenkatesan Theerthagiri
2022 J jnl
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques.
Expert Syst. J. Knowl. Eng.
Prasannavenkatesan Theerthagiri, Jyothiprakash Vidya
2022 J jnl
Mobility prediction for random walk mobility model using ARIMA in mobile ad hoc networks.
J. Supercomput.
Prasannavenkatesan Theerthagiri
2022 J jnl
Mobility speed prediction using ARIMA and RNN for random walk mobility model in mobile ad hoc networks.
Concurr. Comput. Pract. Exp.
Prasannavenkatesan Theerthagiri, Menakadevi Thangavelu
2022 J jnl
Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique.
Intell. Syst. Appl.
Prasannavenkatesan Theerthagiri
2022 J jnl
RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction.
Expert Syst. J. Knowl. Eng.
Prasannavenkatesan Theerthagiri, A. Usha Ruby
2022 J jnl
Vehicular multihop intelligent transportation framework for effective communication in vehicular ad-hoc networks.
Concurr. Comput. Pract. Exp.
Prasannavenkatesan Theerthagiri, Chandrasekaran Gopala Krishnan
2022 J jnl
k-means clustering based energy and trust management routing algorithm for mobile ad-hoc networks.
Int. J. Commun. Syst.
C. Gopala Krishnan, Nishan A. H., Prasannavenkatesan Theerthagiri
2021 J jnl
Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques.
CoRR
Prasannavenkatesan Theerthagiri, Vidya J
2021 J jnl
Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques.
Concurr. Comput. Pract. Exp.
Prasannavenkatesan Theerthagiri
2021 J jnl
Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model.
EAI Endorsed Trans. Pervasive Health Technol.
Prasannavenkatesan Theerthagiri
2021 J jnl
Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique.
EAI Endorsed Trans. Pervasive Health Technol.
Prasannavenkatesan Theerthagiri, C. Gopala Krishnan, Nishan A. H.
2020 J jnl
FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network.
Wirel. Networks
Prasannavenkatesan Theerthagiri
2020 J jnl
Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques.
CoRR
Prasannavenkatesan Theerthagiri
2019 J jnl
Futuristic speed prediction using auto-regression and neural networks for mobile ad hoc networks.
Int. J. Commun. Syst.
Prasannavenkatesan Theerthagiri, Menakadevi Thangavelu