Ganesan, Swathi
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My Latest
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Kunwar, Shiv, Ganesan, Swathi
ORCID: https://orcid.org/0000-0002-6278-2090 and Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029
(2026)
Evaluating machine learning models for cardiovascular risk prediction: A Shapley Additive Explanations-based approach with statistical testing.
Brain & Heart.
025260032.
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Seneviratne, Rumesha, Akther, Tasnim, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 and Kumar, Ganapathy
(2026)
Innovative machine learning integration for sustainable software quality and performance optimization in the SDLC.
In: Sehgal, Nidhi, Balusamy, Balamurugan, Sheffield, Rachel and Zaman, Umer, (eds.)
The Future of Business and Society: Integrating Sustainable Technologies with Data-Driven Solutions.
London, CRC Press, pp. 207-223
(In Press)
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Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Kavindu and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251
(2026)
Database Optimization for Low-Latency Analytics with Adaptive Indexing.
Journal of Data Science and Intelligent Systems.
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Alam, Amjad, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Ali, kamran
(2025)
Meta-Heuristic Fusion for 5G VANETs: A GWO–PSO–ACO Framework Balancing. Latency, Energy and Spectrum.
Lex localis - Journal of Local Self-Government, 23 (56).
pp. 6918-6947.
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Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Poudel, Sanjaya, Banjade, Shiv Raj, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Goonawardane, Chathurika
(2025)
Generative AI and Job Vulnerability: A Global Review.
Recent Research Reviews Journal, 4 (2).
pp. 281-305.
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Chaudhary, Abhishek, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Shah, Prashant Bikram ORCID: https://orcid.org/0009-0009-4149-0855 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251
(2025)
Drug Review Sentiment Analysis: Applying Transformer-Based Models for Enhanced Healthcare.
Journal of Data Science and Intelligent Systems.
pp. 1-11.
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Hamzat, Babatunde, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 and Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090
(2025)
Early prediction of Alzheimer’s disease using
machine learning algorithm: A convolutional
neural network approach.
Brain & Heart.
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Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251
(2025)
Enhancing Cardiovascular Disease Prediction: Optimised Feature Selection and Machine Learning Techniques for Improved Accuracy.
In:
2025 10th International Conference on Machine Learning Technologies (ICMLT).
IEEE, pp. 55-62
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Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251
(2025)
Mitigating Data Scarcity in Healthcare through Wasserstein Generative Adversarial Network- A Case Study in Medical Application.
In:
2025 10th International Conference on Machine Learning Technologies (ICMLT).
IEEE, pp. 278-286
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Muritala, Qudus, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817
(2024)
Utilisation of Convolutional Neural Networks (CNNS) in the Automated Diagnosis of Covid-19 from Chest X-Ray.
International Journal of Computer Communication & Informatics, 6 (2).
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