Ganesan, Swathi

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Contact

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Name:

Ganesan, Swathi

Email:

s.ganesan@yorksj.ac.uk

Department:

Department of Computer Science and Data Science

Organisation:

York St John University, London

Country:

United Kingdom

Biography

Expertise:

Computer Science, Data Science, Software Development

Job title:

Lecturer

My Latest

Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Ling, Soonleh ORCID: https://orcid.org/0000-0002-7104-3812 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2025) Understanding the Behaviors and Detecting the Mental Health Symptoms Among Students Using Machine Learning Algorithms. In: Raj, G., Unhelker, B. and Choudhary, A., (eds.) Advances in Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering (1264). Springer, pp. 13-30
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Sihan, Haroon Muhammed and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2025) Enhancing Stock Price Prediction Accuracy Through Deep Learning Techniques: A Case Study on Nepal's Stock Market. In: Raj, G., Unhelker, B. and Choudhary, A., (eds.) Advances in Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering (1264). Springer, pp. 45-60
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 and Kumar, Ganapathy (2025) Agricultural Application of Convolutional Neural Networks: A Case Study on Potato Plant Disease Detection Using Keras Image Generator and Data Augmentation Techniques. Journal of Innovative Image Processing, 6 (4). pp. 433-455.
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2024) Navigating the Integration of Machine Learning in Healthcare: Challenges, Strategies, and Ethical Considerations. Journal of Computational and Cognitive Engineering, 4 (1). pp. 8-23.
Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Banjade, Shiv Raj and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2024) Enhancing the Usability, Visibility, and Responsiveness of an Airline Reservation System: A User-Centered Design Approach. International journal of computer communication and informatics, 6 (1). pp. 1-15.
Polina, Pooja, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2024) Time Series Analysis for Tractor Sales using SARIMAX and Deep Learning Models. International journal of computer communication and informatics, 6 (1). pp. 27-57.
Gummalla, Devika Ku, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2024) Enhanced Early Detection of Thyroid Abnormalities using a Hybrid Deep Learning Model: A Sequential CNN and K-Means Clustering Approach. Journal of Innovative Image Processing, 6 (3). pp. 244-261.
Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Akther, Tasnim and Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817 (2024) Building Customized Chatbots for Document Summarization and Question Answering using Large Language Models using a Framework with OpenAI, Lang chain, and Streamlit. Journal of Information Technology and Digital World, 6 (1). pp. 70-86.
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 (2023) Unleashing the Power of AI in Healthcare: Transforming the Future of Medicine. ICAAAIML.
Ratnayake, Upadya, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 (2023) Enhancing CNN Models with Data Augmentation for Accurate Fertilizer Deficiencies and Diseases Identification in Paddy Crops. In: International Conference on Business Innovation 2023 (ICOBI 2023). ICOBI, pp. 575-582

My Most Viewed

#	Item title
1	Machine learning-based predictive models for cardiovascular risk assessment in data analysis, model development, and clinical implications	140	43
2	Navigating the Integration of Machine Learning in Healthcare: Challenges, Strategies, and Ethical Considerations	118	63
3	Time Series Analysis for Tractor Sales using SARIMAX and Deep Learning Models	95	68
4	Unleashing the Power of AI in Healthcare: Transforming the Future of Medicine	66
5	Business During COVID: An IOT Based Automated Sand Truck Management Solution	58	47
6	Exploring Cryptographic Techniques for Data security in Resource-Constrained Wireless Sensor Networks:Performance Evaluation and Considerations	51
7	Deep Learning Model Regression Based Object Detection for Adaptive Driving Beam Headlights	48	20
8	Enhancing CNN Models with Data Augmentation for Accurate Fertilizer Deficiencies and Diseases Identification in Paddy Crops	37
9	Determine What the Student Understands-Assessment in An Un-scaffolded Environment	35
10	Agricultural Application of Convolutional Neural Networks: A Case Study on Potato Plant Disease Detection Using Keras Image Generator and Data Augmentation Techniques	29	9