Prasannavenkatesan Theerthagiri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Support Vector Machine

Mobile Ad Hoc Networks

Multivariate Linear Regression

Top Venues

Multim. Tools Appl.

Concurr. Comput. Pract. Exp.

Int. J. Commun. Syst.

Expert Syst. J. Knowl. Eng.

Publications

Prasannavenkatesan Theerthagiri, Devarayapattana Siddalingaiah Sahana
RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification. Multim. Tools Appl. 83 (20) (2024)
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran
Prediction and classification of minerals using deep residual neural network. Neural Comput. Appl. 36 (4) (2024)
Prasannavenkatesan Theerthagiri, A. Usha Ruby, B. N. Chaithanya, Renuka R. Patil, Swasthika Jain
D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals. Multim. Tools Appl. 83 (5) (2024)
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran, Tanvir Habib Sardar, Ahamed Shafeeq B. M.
Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases. J. Big Data 11 (1) (2024)
Prasannavenkatesan Theerthagiri, A. Usha Ruby, Vidya J
Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms. SN Comput. Sci. 4 (1) (2023)
Prasannavenkatesan Theerthagiri
Stress emotion recognition with discrepancy reduction using transfer learning. Multim. Tools Appl. 82 (4) (2023)
Prasannavenkatesan Theerthagiri
CoFEE: Context-aware futuristic energy estimation model for sensor nodes using Markov model and autoregression. Int. J. Commun. Syst. 36 (12) (2023)
Prasannavenkatesan Theerthagiri, A. Usha Ruby
Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends. Multim. Tools Appl. 82 (16) (2023)
Prasannavenkatesan Theerthagiri, A. Usha Ruby
RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction. Expert Syst. J. Knowl. Eng. 39 (9) (2022)
Prasannavenkatesan Theerthagiri, Menakadevi Thangavelu
Mobility speed prediction using ARIMA and RNN for random walk mobility model in mobile ad hoc networks. Concurr. Comput. Pract. Exp. 34 (4) (2022)
Prasannavenkatesan Theerthagiri, Jyothiprakash Vidya
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques. Expert Syst. J. Knowl. Eng. 39 (9) (2022)
Prasannavenkatesan Theerthagiri
Mobility prediction for random walk mobility model using ARIMA in mobile ad hoc networks. J. Supercomput. 78 (14) (2022)
Prasannavenkatesan Theerthagiri, Chandrasekaran Gopala Krishnan
Vehicular multihop intelligent transportation framework for effective communication in vehicular ad-hoc networks. Concurr. Comput. Pract. Exp. 34 (10) (2022)
Prasannavenkatesan Theerthagiri
Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique. Intell. Syst. Appl. 16 (2022)
C. Gopala Krishnan, Nishan A. H., Prasannavenkatesan Theerthagiri
k-means clustering based energy and trust management routing algorithm for mobile ad-hoc networks. Int. J. Commun. Syst. 35 (9) (2022)
Prasannavenkatesan Theerthagiri, Vidya J
Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques. CoRR (2021)
Prasannavenkatesan Theerthagiri, C. Gopala Krishnan, Nishan A. H.
Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique. EAI Endorsed Trans. Pervasive Health Technol. 7 (26) (2021)
Prasannavenkatesan Theerthagiri
Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model. EAI Endorsed Trans. Pervasive Health Technol. 7 (26) (2021)
Prasannavenkatesan Theerthagiri
Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques. Concurr. Comput. Pract. Exp. 33 (16) (2021)
Prasannavenkatesan Theerthagiri
FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network. Wirel. Networks 26 (6) (2020)
Prasannavenkatesan Theerthagiri
Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques. CoRR (2020)
Prasannavenkatesan Theerthagiri, Menakadevi Thangavelu
Futuristic speed prediction using auto-regression and neural networks for mobile ad hoc networks. Int. J. Commun. Syst. 32 (9) (2019)