| Detection of Gene Ontology Clusters Using Biclustering Algorithms NJ Anooja Ali, A Ajil, A Meenakshi Sundaram Springer Nature Singapore 4 (3), 217, 2023 | 17* | 2023 |
| Acre-Scale Grape Bunch Detection and Predict Grape Harvest Using YOLO Deep Learning Network RR Sneha N, Meenakshi Sundaram A SN computer science 5 (250), 2024 | 5 | 2024 |
| ASRD: algorithm for spliced region detection in digital image forensics A Meenakshi Sundaram, C Nandini Software Engineering Trends and Techniques in Intelligent Systems …, 2017 | 5 | 2017 |
| Deep Learning based Bone Fracture Detection S Thota, P Kandukuru, M Sundaram, A Ali, SM Basha, NH Bindu 2024 International Conference on Smart Systems for applications in …, 2024 | 4 | 2024 |
| Alzheimer's Detection and Classification Using Fine‐Tuned Convolutional Neural Network A Ali, DR Sarvamangala, A Meenakshi Sundaram, C Rashmi Fuzzy Logic Applications in Computer Science and Mathematics, 125-141, 2023 | 4 | 2023 |
| Pareto optimization technique for protein motif detection in genomic data set A Ali, HV Ramachandra, A Meenakshi Sundaram, A Ajil, N Ramakrishnan International Conference on Information, Communication and Computing …, 2023 | 4 | 2023 |
| Investigational Study of Image Forensic Applications, Techniques and Research Directions. C Meenakshi Sundaram A,Nandini International Journal of Emerging Technology and Advanced Engineering 4 (8), 2014 | 3* | 2014 |
| Bi-Cluster Based Analysis on Gene Ontology AA Meenakshi Sundaram A, Anooja Ali, S S Patil Milestone Transactions on Medical Technometrics 1 (1), 10–17, 2023 | 2 | 2023 |
| Literature survey and an idea comprehension on prediction of hysterectomy in women using natural language processing and deep learning technique for electronic health record AN Kumar, A Meenakshi Sundaram SN Computer Science 4 (3), 255, 2023 | 2 | 2023 |
| Deep learning based application in identifying originality of the hand written document using convolution neural network N Sneha, M Sundaram, N Preetham 2022 International Conference on Connected Systems & Intelligence (CSI), 1-8, 2022 | 2 | 2022 |
| Feature based Image Authentication using Symmetric Surround Saliency Mapping in Image Forensics A Meenakshi Sundaram, C Nandini International Journal of Computer Applications, 0975-8887, 0 | 2 | |
| Weedspedia: Deep Learning-Based Approach for Weed Detection using R-CNN, YoloV3 and Centernet RR S. N, M. Sundaram International Conference on Quantum Technologies, Communications, Computing …, 2023 | 1 | 2023 |
| Human activity recognition based on deep convolutional neural network V Anand, M Sundaram AIP Conference Proceedings 2742 (1), 2024 | | 2024 |
| A Novel Method for Fruit Detection and Calorie Estimation using CNN. J Chalikar, M Sundaram Journal of Advanced Zoology 44, 2023 | | 2023 |
| Artificial Intelligence-Based Chronic Kidney Disease Prediction—A Review AM Amaresh, A Meenakshi Sundaram Proceedings of Third International Conference on Sustainable Expert Systems …, 2023 | | 2023 |
| Integration of Cloud-Sensor Based Framework for Predictive Analysis for Accelerating Knowledge Gain in Agriculture MSRR S. N International Conference on Recent Advances in Information Technology for …, 2023 | | 2023 |
| Recognition and Classification of Diabetic Retinopathy using Retinal Fundus Images MSA Anand M GRENZE International Journal of Engineering &Technology, GIJET 8 (2), 912-916, 2022 | | 2022 |
| Deep Learning Based Application in Identifying Originality of the Hand Written Document using Convolution Neural Network MSPN P. M. O, S. N International Conference on Connected Systems & Intelligence (CSI), 2022, pp …, 2022 | | 2022 |
| Crop Quality Assessment Through Crop Disease in Agriculture Using Deep Learning Models AS Sneha N., Anirudh R., Meenakshi Sundaram Design Engineering. 2021 (8), 15489-15502, 2021 | | 2021 |
| Artificial Intelligent Robot for Enforcement Surveillance (AIRES) MSA Prajwal kulkarni International Conference on Smart Technologies in computing, Electrical and …, 2020 | | 2020 |
Dr. Anooja AliAssociate Professor, REVA Universityبريد إلكتروني تم التحقق منه على reva.edu.in
