From Saint Chavara
RSET Unique Id: | 31784 | |
Area of Interest: | Image Processing,Soft Computing,Signal Processing | |
Memberships(If Any) | IETE | |
https://scholar.google.com/citations?user=sdNCmo4AAAAJ&hl=en | ||
Website | http://people.rajagiritech.ac.in/jayanthivs |
Year | Title of the Paper-Conference/Journal Details |
2023 | Parkinson & Disease Diagnosis: A Deep Learning Approach
Using CNN Alex Net and MR Scans 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science |
2023 | Food image Recognition and calorie Prediction using Faster R-CNN and Mask R-CNN 9th International Conference on Smart Computing and Communications(ICSCC 2023) |
2021 | Deep Neural Based Beamforming Techniques for Direction of Arrival (DOA) Estimation 2021 International Symposium on Ocean Technology (SYMPOL) |
2021 | Alzheimer’s disease classification using pre-trained deep networks Biomedical Signal Processing and Control |
2020 | Design of Low Power Speech Processor-Based Cochlear Implants Using Modified FIR Filter with Variable Frequency Mapping Journal of Circuits, Systems and Computers |
2020 | Non-Small Cell Lung Tumor Identification by CNN and ANN Classifier The Psychology and Education Journal |
2020 | Convolutional neural network for biomedical applications Computational Intelligence and Its Applications in Healthcare |
2019 | Speech enhancement method using deep learning approach for hearing-impaired listeners Health Informatics Journal |
2019 | Lung Nodule Classification in CT Images Using Convolutional Neural Network 2019 9th International Conference on Advances in Computing and Communication (ICACC) |
2019 | Multiple share creation based visual cryptographic scheme using diffusion method with a combination of chaotic maps for multimedia applications Multimedia Tools and Applications |
2019 | Alzheimer’s Disease Classification Using Deep Convolutional Neural Network 2019 9th International Conference on Advances in Computing and Communication (ICACC) |
2019 | Convolutional Neural Network for Biomedical Applications Computational Intelligence and Its Applications in Healthcare |
2019 | Alzheimer's Disease Classification Using Deep Learning Computational Intelligence and Its Applications in Healthcare |
2017 | Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network |
2017 | An efficient classification approach for detection of Alzheimer’s disease from biomedical imaging modalities |