2 publications

• Published Subscription 8 Jan 2025

  Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers

  By Purushotam Naidu K., G. Sri Sivaanandini, P. Divya, Ch. AnuSri, T. Durga Prasanna, R. Naga Supriya

  Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article →

• Published Subscription 29 May 2024

  Intrusion Detection System Using Gated Recurrent Neural Network

  By Purushotam Naidu K., S. Deepika, N. Sri Ramya, N. Sharmila, K. Vaishnavi, P. Bhavitha

  Abstract: In the realm of cybersecurity, the constant evolution of threats demands sophisticated intrusion detection systems (IDSs) capable of discerning intricate patterns in network traffic. This study proposes an IDS leveraging the capabilities of gated recurrent neural networks (GRNNs) to enhance the detection of anomalies and potential security breaches. The GRNN architecture, employing mechanisms like long short-term memory (LSTM) and gated recurrent unit (GRU), demonstrates efficacy in capturing long-range dependencies within …

  Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 1–8 Read article →