| A breathalyzer for the assessment of chronic kidney disease patients’ breathprint: Breath flow dynamic simulation on the measurement chamber and experimental investigation R Kalidoss, S Umapathy, UR Thirunavukkarasu Biomedical Signal Processing and Control 70, 103060, 2021 | 85 | 2021 |
| Human tongue thermography could be a prognostic tool for prescreening the type II diabetes mellitus U Thirunavukkarasu, S Umapathy, PT Krishnan, K Janardanan Evidence‐Based Complementary and Alternative Medicine 2020 (1), 3186208, 2020 | 33 | 2020 |
| D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism AA Khan, RK Madendran, U Thirunavukkarasu, M Faheem CAAI Transactions on Intelligence Technology 8 (3), 755-769, 2023 | 25 | 2023 |
| A computer aided diagnostic method for the evaluation of type II diabetes mellitus in facial thermograms U Thirunavukkarasu, S Umapathy, K Janardhanan, R Thirunavukkarasu Physical and Engineering Sciences in Medicine 43, 871-888, 2020 | 19 | 2020 |
| An energy-efficient centralized dynamic time scheduling for internet of healthcare things RK Mahendran, V Prabhu, V Parthasarathy, U Thirunavukkarasu, ... Measurement 186, 110230, 2021 | 13 | 2021 |
| Classification of prediabetes and healthy subjects in plantar infrared thermal imaging using various machine learning algorithms U Thirunavukkarasu, S Umapathy Micro-Electronics and Telecommunication Engineering: Proceedings of 3rd …, 2020 | 5 | 2020 |
| Prediction of arrhythmia from MIT-BIH database using random forest (RF) and voted perceptron (VP) classifiers K Vinutha, U Thirunavukkarasu AIP Conference Proceedings 2822 (1), 2023 | 2 | 2023 |
| Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques U Thirunavukkarasu, S Umapathy, V Ravi, TJ Alahmadi Scientific Reports 14 (1), 14571, 2024 | | 2024 |
| Prediction of arrhythmia from MIT-BIH database using J48 and k-nearest neighbours (KNN) classifiers K Vinutha, U Thirunavukkarasu AIP Conference Proceedings 2853 (1), 2024 | | 2024 |
| Prediction of arrhythmia from MIT-BIH database using support vector machine (SVM) and naive bayes (NB) classifiers K Vinutha, U Thirunavukkarasu AIP Conference Proceedings 2853 (1), 2024 | | 2024 |
| Classification of benign and malignant tumor cells using random tree and knn classifiers from Wisconsin dataset for the potential diagnostic application U Koyyala, U Thirunavukkarasu AIP Conference Proceedings 2816 (1), 2024 | | 2024 |
| Classification of benign and malignant masses using LMT and RF classifiers for the potential and diagnostic applications YR Konreddy, U Thirunavukkarasu AIP Conference Proceedings 2816 (1), 2024 | | 2024 |
| Classification of benign and malignant tumor cells using SVM and logistic classifiers from Wisconsin dataset for the potential diagnostic application U Koyyala, U Thirunavukkarasu AIP Conference Proceedings 2816 (1), 2024 | | 2024 |
| Prediction of diabetic retinopathy signs in diabetes and healthy subjects using debrecen datasets by comparing NB and KNN classifiers K Pillalamarri, U Thirunavukkarasu AIP Conference Proceedings 2816 (1), 2024 | | 2024 |
| Classification of benign and malignant tumor cells using bagging and Adaboost classifiers from Wisconsin dataset for the potential diagnostic application U Koyyala, U Thirunavukkarasu AIP Conference Proceedings 2816 (1), 2024 | | 2024 |
| Evaluation analysis based on breast cancer awareness and its associating knowledge among the university technical and medical field associated female students by random … J Asari, U Thirunavukkarasu AIP Conference Proceedings 2729 (1), 2024 | | 2024 |
| Classification of benign and malignant masses using J48 and KNN classifiers for the potential and diagnostic applications KY Reddy, U Thirunavukkarasu AIP Conference Proceedings 2587 (1), 2023 | | 2023 |
| Classification of normal and nodule lung images from LIDC-IDRI datasets using K-NN and logistic classifiers GC Srija, U Thirunavukkarasu AIP Conference Proceedings 2587 (1), 2023 | | 2023 |
| Classification of healthy and diabetic mellitus individuals by extracted textural features from left plantar thermograms and classifying using svm and nb classifiers N Mounika, U Thirunavukkarasu AIP Conference Proceedings 2822 (1), 2023 | | 2023 |
| Classification of normal and nodule lung images from LIDC-IDRI datasets using SVM and NB classifiers CS Gantenapati, T Usharani AIP Conference Proceedings 2655 (1), 2023 | | 2023 |
snehalatha umapathySRM institute of science and technology在 srmist.edu.in 的电子邮件经过验证
