| Prediction of crop yield using regression analysis V Sellam, E Poovammal Indian Journal of Science and Technology 9 (38), 1-5, 2016 | 156 | 2016 |
| Classification of normal and pathological voice using SVM and RBFNN V Sellam, J Jagadeesan Journal of signal and Information Processing 2014, 2014 | 56 | 2014 |
| Classification of Normal and Pathological Voice using GA and SVM V Srinivasan, V Ramalingam, V Sellam International journal of computer applications 60 (3), 2012 | 26 | 2012 |
| Accuracy enhancement in mobile phone recycling process using machine learning technique and MEPH process A Senthilselvi, V Sellam, SA Alahmari, S Rajeyyagari Environmental Technology & Innovation 20, 101137, 2020 | 21 | 2020 |
| Fingerprint image classification using local diagonal and directional extrema patterns A Manickam, R Haldar, SM Saqlain, V Sellam, R Soundrapandiyan Journal of Electronic Imaging 28 (3), 033027-033027, 2019 | 15 | 2019 |
| LBO-MPAM: Ladybug Beetle Optimization-based multilayer perceptron attention module for segmenting the skin lesion and automatic localization V Sellam, K Natrajan, SS Pandi, SK Kumar Journal of Experimental & Theoretical Artificial Intelligence, 2024 | 12 | 2024 |
| Corn disease detection based on deep neural network for substantiating the crop yield C Ashwini, V Sellam Appl Math 16 (3), 423-433, 2022 | 12 | 2022 |
| EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction C Ashwini, V Sellam Neural Computing and Applications 35 (15), 11125-11139, 2023 | 9 | 2023 |
| An effective fuzzy logic based clustering scheme for edge-computing based internet of medical things systems V Sellam, N Kannan, HA Basha Cognitive Internet of Medical Things for Smart Healthcare: Services and …, 2021 | 8 | 2021 |
| Credit card fraud detection using machine learning V Sellam, P Tushar, G Rohit, S Sanyam Indian Journal of Computer Graphics and Multimedia 1 (1), A1003011121, 2021 | 6 | 2021 |
| An optimal model for identification and classification of corn leaf disease using hybrid 3D-CNN and LSTM C Ashwini, V Sellam Biomedical Signal Processing and Control 92, 106089, 2024 | 2 | 2024 |
| Estimating the impact of drought on crop yield Using principal component analysis V Sellam, E Poovmmal, P Periasamy J. web Eng 17 (6), 1980-1992, 2018 | 2 | 2018 |
| Analyzing The Prediction Accuracy Of Corn Leaf Diseases Using A Pre-Trained Network Model C Ashwini, V Sellam 2023 International Conference on Advancement in Computation & Computer …, 2023 | 1 | 2023 |
| Optical character recognition using localization techniques V Sellam, A Aruna, A Joseph, S Rahul, A Rahul AIP Conference Proceedings 2463 (1), 2022 | 1 | 2022 |
| ESDC-LSH: Ensemble Support-Vector Deep Convolutional Based Levy Selfish Herd Optimization for Prediction and Classification of Parkinson’s Disease J Caroline El Fiorenza, V Sellam Wireless Personal Communications 135 (3), 1861-1883, 2024 | | 2024 |
| Correction: EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction C Ashwini, V Sellam Neural Computing and Applications 36 (10), 5651-5651, 2024 | | 2024 |
| Security Framework for Electronic Health Record in the Cloud Based on Public key Encryption A Aruna, V Sellam 2023 9th International Conference on Signal Processing and Communication …, 2023 | | 2023 |
| Developed 3D-Improved Ensemble Deep Neural Network to Detect and Predict PD at the Early Stage JC El Fiorenza, V Sellam 2023 International Conference on Research Methodologies in Knowledge …, 2023 | | 2023 |
| Forecast the Onset of Parkinson’s Disease at all Three Stages using Deep Learning Techniques J Caroline El Fiorenza, V Sellam, JD Rose 2023 First International Conference on Advances in Electrical, Electronics …, 2023 | | 2023 |
| Study and Evaluation of Parameters Influencing Parkison’s Disease Using 3D CNN J Caroline El Fiorenza, V Sellam Appl. Math 17 (4), 579-588, 2023 | | 2023 |
