An Enhanced RNN-LSTM Model for Fundus Image Classification to Diagnose Glaucoma

HN Veena, KK Patil, P Vanajakshi, A Ambore… - SN Computer …, 2024 - Springer
In the current medical implications, one of the leading ocular diseases is Glaucoma which
majorly damage the Optic Nerve Head (ONH) of the eye retina. The intraocular pressure of …

Machine learning techniques to detect DDoS attacks in IoT's, SDN's: a comprehensive overview

S Manjunath, AAP Singh, NC Gowda… - … Journal of Human …, 2023 - milestoneresearch.in
Attacks known as distributed denial of service (DDoS) compromise user privacy while
disrupting internet services and posing a serious danger to network security. DDoS attack …

Deep learning-based solution for differently-abled persons in the society

MM Yakoobi, NC Gowda - 2023 4th International conference …, 2023 - ieeexplore.ieee.org
This paper intends to furnish support to individuals grappling with visual impairments
through the employment of YOLOV4, an advanced object detection model. The proposed …

An Efficient Breast Cancer Detection Using Machine Learning Classification Models.

BN Kumar, NC Gowda, BJ Ambika… - … Journal of Online & …, 2024 - search.ebscohost.com
Breast cancer is still a dangerous and common disease that affects women all over the
world, which highlights how crucial early identification is to better patient outcomes. In recent …

Efficient Identification of DeepFake Images using CNN

NC Gowda, HN Veena… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The development of Deepfakes has become more prevalent with the rise of Generative
Adversarial Networks (GANs). Deepfakes are synthetically created, modified images that …

Two Stage Video Classification Approach Using Convolution Neural Network

HN Veena, NC Gowda… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This research study focuses on video categorization, which is a crucial area of computer
vision with uses in entertainment, education, and surveillance. Convolutional Neural …

An Efficient Autism Spectrum Disorder Classification in Different Age Groups using Machine Learning Models.

AR Subhash, AKU Motagi - International Journal of Online & …, 2024 - search.ebscohost.com
The current world has witnessed the emergence of various illnesses, such as autism
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …

Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis

NC Gowda, HN Veena, A Rajagopal… - Environmental …, 2025 - Wiley Online Library
Air pollution poses a significant global health challenge, demanding access to precise and
up‐to‐date air quality information for effective mitigation of its impact on human well‐being …

An Efficient Prediction System for Heart Diseases Using Machine Learning Algorithms

P Archana, SV Shashikala - 2024 Second International …, 2024 - ieeexplore.ieee.org
one of the most severe and demanding conditions that the arena is currently facing is heart
illness. Forecasting cardiovascular illness is one among the most challenging pursuits in the …

Enhancing Cybersecurity in Wireless Sensor Networks: Innovative Framework for Optimized Data Aggregation.

RK Godi, V Bhoothpur, B KJ, A BJ… - … Journal of Online & …, 2025 - search.ebscohost.com
The various cyberattacks in wireless sensor networks (WSNs) have made confidentiality and
data integrity as crucial principles in data aggregation. Therefore, several applications are …