Research output per year
Research output per year
Personal profile
Research interests
Dr. Thuseethan's research focuses on machine learning, deep learning, and computer vision, with applications including emotion recognition, medical imaging, and precision agriculture.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Comparative Analysis of Pre-trained Deep Neural Networks for Plant Disease Classification
George, R., Thuseethan, S. & Ragel, R. G., 2024, Proceedings - 21st International Joint Conference on Computer Science and Software Engineering, JCSSE 2024. 1 ed. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 179-186 8 p. (Proceedings - 21st International Joint Conference on Computer Science and Software Engineering, JCSSE 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
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Hybrid Transfer Learning Approach for Emotion Analysis of Occluded Facial Expressions
Pamod, D., Charles, J., Hewarathna, A. I., Vigneshwaran, P., Lekamge, S. & Thuseethan, S., 31 Jan 2024, Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Revised Selected Papers. Santosh, KC., Makkar, A., Conway, M., Singh, A. K., Vacavant, A., Abou el Kalam, A., Bouguelia, M-R. & Hegadi, R. (eds.). Switzerland , p. 387-402 16 p. (Communications in Computer and Information Science; vol. 2026 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
Open Access -
An Image Analysis-Based Automated Method using Deep Learning for Grain Counting
Ajikaran, R., Hewarathna, A. I., Palanisamy, V., Joseph, C. & Thuseethan, S., 2023, 2023 IEEE 17th International Conference on Industrial and Information Systems, ICIIS 2023 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, p. 25-30 6 p. (2023 IEEE 17th International Conference on Industrial and Information Systems, ICIIS 2023 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
1 Citation (Scopus) -
Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition
Thuseethan, S., Rajasegarar, S. & Yearwood, J., Jun 2023, In: Information Sciences. 630, p. 341-355 15 p.Research output: Contribution to journal › Article › peer-review
13 Citations (Scopus) -
Deep Continual Learning for Emerging Emotion Recognition
Thuseethan, S., Rajasegarar, S. & Yearwood, J., 2022, In: IEEE Transactions on Multimedia. 24, p. 4367-4380 14 p.Research output: Contribution to journal › Article › peer-review
17 Citations (Scopus)