Futuristic speed prediction using auto-regression and neural networks for mobile ad hoc networks. - Prasannavenkatesan Theerthagiri; Menakadevi Thangavelu (Int. J. Commun. Syst., 2019)

FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network. - Prasannavenkatesan Theerthagiri (Wirel. Networks, 2020)

Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques. - Prasannavenkatesan Theerthagiri (Concurr. Comput. Pract. Exp., 2021)

Cardiovascular Disease Prediction using Recursive Feature Elimination and Gradient Boosting Classification Techniques. - Prasannavenkatesan Theerthagiri; Vidya J (CoRR, 2021)

Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model. - Prasannavenkatesan Theerthagiri (EAI Endorsed Trans. Pervasive Health Technol., 2021)

Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique. - Prasannavenkatesan Theerthagiri; C. Gopala Krishnan 001; Nishan A. H. (EAI Endorsed Trans. Pervasive Health Technol., 2021)

Vehicular multihop intelligent transportation framework for effective communication in vehicular ad-hoc networks. - Prasannavenkatesan Theerthagiri; Chandrasekaran Gopala Krishnan 001 (Concurr. Comput. Pract. Exp., 2022)

Mobility speed prediction using ARIMA and RNN for random walk mobility model in mobile ad hoc networks. - Prasannavenkatesan Theerthagiri; Menakadevi Thangavelu (Concurr. Comput. Pract. Exp., 2022)

RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction. - Prasannavenkatesan Theerthagiri; A. Usha Ruby (Expert Syst. J. Knowl. Eng., 2022)

Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques. - Prasannavenkatesan Theerthagiri; Jyothiprakash Vidya (Expert Syst. J. Knowl. Eng., 2022)

k-means clustering based energy and trust management routing algorithm for mobile ad-hoc networks. - C. Gopala Krishnan 001; Nishan A. H.; Prasannavenkatesan Theerthagiri (Int. J. Commun. Syst., 2022)

Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique. - Prasannavenkatesan Theerthagiri (Intell. Syst. Appl., 2022)

Mobility prediction for random walk mobility model using ARIMA in mobile ad hoc networks. - Prasannavenkatesan Theerthagiri (J. Supercomput., 2022)

Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; Vidya J (SN Comput. Sci., 2023)

Stress emotion recognition with discrepancy reduction using transfer learning. - Prasannavenkatesan Theerthagiri (Multim. Tools Appl., 2023)

Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends. - Prasannavenkatesan Theerthagiri; A. Usha Ruby (Multim. Tools Appl., 2023)

CoFEE: Context-aware futuristic energy estimation model for sensor nodes using Markov model and autoregression. - Prasannavenkatesan Theerthagiri (Int. J. Commun. Syst., 2023)

Neural Machine Translation Model Using GRU with Hybrid Attention Mechanism for English to Kannada Language. - Gunti Spandan; Prasannavenkatesan Theerthagiri (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2024)

D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; B. N. Chaithanya; Renuka R. Patil; Swasthika Jain (Multim. Tools Appl., 2024)

Prediction and classification of minerals using deep residual neural network. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; J. George Chellin Chandran (Neural Comput. Appl., 2024)

RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification. - Prasannavenkatesan Theerthagiri; Devarayapattana Siddalingaiah Sahana (Multim. Tools Appl., 2024)

Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases. - Prasannavenkatesan Theerthagiri; A. Usha Ruby; J. George Chellin Chandran; Tanvir Habib Sardar; Ahamed Shafeeq B. M. (J. Big Data, 2024)

Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm. - Prasannavenkatesan Theerthagiri (Biomed. Signal Process. Control., 2025)