V. A. Narayana
According to our database1,
V. A. Narayana authored at least 12 papers
between 2010 and 2026.
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Bibliography
2026
An explainable AI-based interpreter for deep-dual-wave based Unet framework with a cross-attention layer-based dental caries segmentation and classification.
Netw. Model. Anal. Health Informatics Bioinform., December, 2026
2025
The strategic utilization of machine learning insights to optimize the management of skin health in cattle.
Multim. Tools Appl., February, 2025
A 2-level meta-heuristic aware adaptive watershed technique based optimized convolutional deep neural network for lung cancer segmentation and classification using explainable AI.
Biomed. Signal Process. Control., 2025
2024
Stacking Ensemble of Capsule Network and Multi-Hidden Layer Extreme Learning Machine for Enhanced Lumpy Skin Disease Diagnosis.
Informatica (Slovenia), 2024
2023
A Novel Integrated Load Balancing Technique for Wireless Sensor Networks with Centralized Clustering.
Proceedings of the Bio-Inspired Computing, 2023
Analysis on Convolutional Neural Networks for Deep Learning Intrusion Identification Using Industrial Internet of Things.
Proceedings of the Bio-Inspired Computing, 2023
An Assessment of the Content and Sequencing Characteristic Extraction Technique Used for Sorting and Categorizing Complex Data.
Proceedings of the Bio-Inspired Computing, 2023
A Comparative Investigation on the Assessment of Computer Vision Techniques for the Recognition of Cervical Cancer.
Proceedings of the Bio-Inspired Computing, 2023
FNPM: Analysis of the Two Contrary Approaches in Fake News Prediction Using Machine Learning.
Proceedings of the Hybrid Intelligent Systems, 2023
An Evaluation of Object Recognition in an Image Through the Utilization of Shape Recognition Techniques in the Field of Image Processing.
Proceedings of the Hybrid Intelligent Systems, 2023
A Safe and Secured Data Sharing in Cloud Computing Through Identity-Based Irrevocable Storage Encryption.
Proceedings of the Hybrid Intelligent Systems, 2023
2010
Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010