Developing a speech recognition system for recognizing tonal speech signals using a convolutional neural network S Dua, SS Kumar, Y Albagory, R Ramalingam, A Dumka, R Singh, ... Applied Sciences 12 (12), 6223, 2022 | 66 | 2022 |
Entropy slicing extraction and transfer learning classification for early diagnosis of Alzheimer diseases with sMRI SS Kumar, M Nandhini ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 24 | 2021 |
A comprehensive survey: early detection of Alzheimer’s disease using different techniques and approaches SS Kumar, M Nandhini International Journal of Computer Engineering & Technology 8 (4), 31-44, 2017 | 17 | 2017 |
Predicting Alzheimer’s disease using deep neuro-functional networks with resting-state fMRI SK Sethuraman, N Malaiyappan, R Ramalingam, S Basheer, M Rashid, ... Electronics 12 (4), 1031, 2023 | 13 | 2023 |
Automated classification of alzheimer’s disease using mri and transfer learning S Sambath Kumar, M Nandhini Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2021 …, 2022 | 2 | 2022 |
Analysis of surface-based morphometric of hippocampal subfield volumetry in Alzheimer’s disease and MCI SS Kumar, M Nandhini Institute of Integrative Omics and Applied Biotechnology 10 (1), 21-26, 2019 | 2 | 2019 |
Multi-tasks Deep Learning Model for classifying MRI images of AD/MCI Patients SS Kumar, M Nandhini International Journal of Engineering and Technology 9 (3), 1925-1930, 2017 | 2 | 2017 |
Neighborhood rough set‐based route selection for mobile ad hoc networks T Sudhakar, S Sambath Kumar, V Ravi, R Ramalingam, S Dua International Journal of Communication Systems 35 (11), e5178, 2022 | | 2022 |
Efficacy of some fungal culture filtrates on hatchability of eggs of Meloidogyne incognita S Kumar, R Nath, RS Kamalwanshi PROGRESSIVE HORTICULTURE 33 (1), 90-93, 2001 | | 2001 |
3D CNN SS Kumar, M Nandhini | | |