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Prasannavenkatesan Theerthagiri

Observed names: Dr. Prasannavenkatesan Theerthagiri, Prasanna Venkatesan Theerthagiri, Prasanna venkatesan Theerthagiri, Prasannavenkatesan T, T. Prasannavenkatesan, Theerthagiri Prasannavenkatesan
Institution: GITAM University
ORCID: 0000-0003-3420-598X
Observed ORCID: 0000-0003-3420-598X
OpenAlex ID: A5084133509
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques
2022 · Prasannavenkatesan Theerthagiri, Jyothiprakash Vidya · Expert Systems · 81
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Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases
2024 · Prasannavenkatesan Theerthagiri, A. Usha Ruby, et al. · Journal Of Big Data · 76
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Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique
2022 · Prasannavenkatesan Theerthagiri · Intelligent Systems with Applications · 66
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Prediction of COVID-19 Possibilities using KNearest Neighbour Classification Algorithm
2021 · Prasannavenkatesan Theerthagiri, I.Jeena Jacob, et al. · International Journal of Current Research and Review · 46
A deep learning model to assist visually impaired in pothole detection using computer vision
2024 · Arjun Paramarthalingam, Jegan Sivaraman, et al. · Decision Analytics Journal · 45
Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm
2024 · Prasannavenkatesan Theerthagiri · Biomedical Signal Processing and Control · 44
Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms
2022 · Prasannavenkatesan Theerthagiri, A. Usha Ruby, et al. · SN Computer Science · 44
Seasonal learning based ARIMA algorithm for prediction of Brent oil Price trends
2023 · Prasannavenkatesan Theerthagiri, A. Usha Ruby · Multimedia Tools and Applications · 29
FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network
2020 · Prasannavenkatesan Theerthagiri · Wireless Networks · 29
Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques
2021 · Prasannavenkatesan Theerthagiri · Concurrency and Computation Practice and Experience · 24
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Deepfake Face Detection Using Deep InceptionNet Learning Algorithm
2023 · Prasannavenkatesan Theerthagiri, Ghouse basha Nagaladinne · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) · 22
Stress emotion recognition with discrepancy reduction using transfer learning
2022 · Prasannavenkatesan Theerthagiri · Multimedia Tools and Applications · 20
Prediction and classification of minerals using deep residual neural network
2023 · Prasannavenkatesan Theerthagiri, A. Usha Ruby, et al. · Neural Computing and Applications · 19
RFFS : Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction
2022 · Prasannavenkatesan Theerthagiri, A. Usha Ruby · Expert Systems · 19
Futuristic speed prediction using auto‐regression and neural networks for mobile ad hoc networks
2019 · Prasannavenkatesan Theerthagiri, Menakadevi Thangavelu · International Journal of Communication Systems · 19
Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique
2021 · Prasannavenkatesan Theerthagiri, Gopala Krishnan C, et al. · EAI Endorsed Transactions on Pervasive Health and Technology · 15
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Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model
2021 · Prasannavenkatesan Theerthagiri · EAI Endorsed Transactions on Pervasive Health and Technology · 15
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CoFEE: Context‐aware futuristic energy estimation model for sensor nodes using Markov model and autoregression
2019 · Prasannavenkatesan Theerthagiri · International Journal of Communication Systems · 15
D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals
2023 · Prasannavenkatesan Theerthagiri, A. Usha Ruby, et al. · Multimedia Tools and Applications · 12
MapReduce‐Enhanced Fuzzy K‐Least Medians for Qualitative Clustering of Document Big Data
2025 · Tanvir Habib Sardar, Zahid Ahmed Ansari, et al. · Concurrency and Computation Practice and Experience · 11
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An investigation of wine quality testing using machine learning techniques
2022 · Sathishkumar Mani, Reshmy Avanavalappil Krishnankutty, et al. · IAES International Journal of Artificial Intelligence · 11
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Performance Analysis of AI-based Learning Models on Leaf Disease Prediction
2022 · Husna Tabassum, Prasannavenkatesan Theerthagiri · International Conference on Circuits, Control, Communication and Computing (I4C) · 10
Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model
2024 · A. Usha Ruby, J. George Chellin Chandran, et al. · Optical Memory and Neural Networks · 9
Mobility prediction for random walk mobility model using ARIMA in mobile ad hoc networks
2022 · Prasannavenkatesan Theerthagiri · The Journal of Supercomputing · 9
Vehicular multihop intelligent transportation framework for effective communication in vehicular ad‐hoc networks
2022 · Prasannavenkatesan Theerthagiri, Chandrasekaran Gopala Krishnan · Concurrency and Computation Practice and Experience · 9
Works count: 68
Citation count: 805
H-index: 15
I10-index: 22
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