Enhanced diabetic retinopathy detection using U-shaped network and capsule network-driven deep learning

Authors: Govindharaj I, Poongodai A, Gnanajeyaraman Rajaram, Santhakumar D, Ravichandran S, Vijaya Prabhu R, Udayakumar K, Yazhinian S

Source: MethodsX, Vol 14, Iss , Pp 103052- (2025)

Subject Terms: Hybrid UNet++-CapsNet Framework for Automated Glaucoma Detection, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221501612400503X; https://doaj.org/toc/2215-0161

Access URL: https://doaj.org/article/1fd9bb0cf3304424b9a25ded36e133d4

Advancing Glaucoma Detection: Synthetic Image Generation via Generative Adversarial Networks and Classification with Pretrained MobileNetV2

Authors: R, Ramprasad S, R, Rampriya, A, Poongodai, I, Govindharaj, R, Vimal Raja, S, Yazhinian

Source: 2024 International Conference on System, Computation, Automation and Networking (ICSCAN) System, Computation, Automation and Networking (ICSCAN), 2024 International Conference on. :1-5 Dec, 2024

Relation: 2024 International Conference on System, Computation, Automation and Networking (ICSCAN)

A Novel Decision Support System for the Prognosis of Parkinson Disease

Authors: Poongodai, A., Singh, Preety, Soujanya, Kls, Muthukumar, R.

Source: 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2022 Sixth International Conference on. :1083-1089 Nov, 2022

Relation: 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

Fruit Detection Using Recurrent Convolutional Neural Network (RCNN)
Communications and cyber physical engineering (3rd international conference)

Authors: Ramadevi, Kotagiri, Poongodai, A.

Source: Lecture notes in electrical engineering. 698(2):1241-1248

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606412019&indx=1&recIds=ETOCCN606412019

Biological inspired self‐organized secure autonomous routing protocol and secured data assured routing in WSN: Hybrid EHO and MBO approach

Authors: Niranjana, G., Poongodai, A., Soujanya, K. L. S.

Source: International journal of communication systems. 35(4)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100139817172.0x000001&indx=1&recIds=ETOCvdc_100139817172.0x000001