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	150	45
2	Navigating the Integration of Machine Learning in Healthcare: Challenges, Strategies, and Ethical Considerations	129	69
3	Time Series Analysis for Tractor Sales using SARIMAX and Deep Learning Models	104	69
4	Unleashing the Power of AI in Healthcare: Transforming the Future of Medicine	74
5	Business During COVID: An IOT Based Automated Sand Truck Management Solution	61	48
6	Exploring Cryptographic Techniques for Data security in Resource-Constrained Wireless Sensor Networks:Performance Evaluation and Considerations	55
7	Deep Learning Model Regression Based Object Detection for Adaptive Driving Beam Headlights	51	22
8	Determine What the Student Understands-Assessment in An Un-scaffolded Environment	43
9	Agricultural Application of Convolutional Neural Networks: A Case Study on Potato Plant Disease Detection Using Keras Image Generator and Data Augmentation Techniques	40	13
10	Enhancing CNN Models with Data Augmentation for Accurate Fertilizer Deficiencies and Diseases Identification in Paddy Crops	40