All Outputs (5)

Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices (2024)
Journal Article
Watt, T., Chrysoulas, C., Barclay, P. J., El Boudani, B., & Kalliatakis, G. (2024). Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices. Applied Sciences, 14(24), Article 11474. https://doi.org/10.3390/app142411474

Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of the world, including hard-to-reach rural areas. Tiny machine learning (tinyML) aims to solve this problem by hosting artificial intell... Read More about Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices.

Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices (2024)
Preprint / Working Paper
Watt, T., Chrysoulas, C., & Barclay, P. J. Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices

Image classification usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. TinyML aims to solve this problem by hosting AI assistants on constrained devices, elim... Read More about Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices.

Towards Building a Smart Water Management System (SWAMS) in Nigeria (2024)
Presentation / Conference Contribution
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (2024, June). Towards Building a Smart Water Management System (SWAMS) in Nigeria. Presented at The 22nd IEEE Mediterranean Electrotechnical Conference, Porto, Portugal

The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insufficient access to clean water, particularly in rural areas. These challeng... Read More about Towards Building a Smart Water Management System (SWAMS) in Nigeria.

Edge NLP for Efficient Machine Translation in Low Connectivity Areas (2023)
Presentation / Conference Contribution
Watt, T., Chrysoulas, C., & Gkatzia, D. (2023, October). Edge NLP for Efficient Machine Translation in Low Connectivity Areas. Presented at IEEE 9th World Forum on Internet of Things: 2nd Workshop on Convergence of Edge Intelligence in IoT (EdgeAI-IoT 2023), Aveiro, Portugal

Machine translation (MT) usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. Edge natural language processing (NLP) aims to solve this problem by processing lan... Read More about Edge NLP for Efficient Machine Translation in Low Connectivity Areas.

Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques (2023)
Presentation / Conference Contribution
Gomez, L. R., Watt, T., Babaagba, K. O., Chrysoulas, C., Homay, A., Rangarajan, R., & Liu, X. (2023, August). Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques. Presented at ICISS 2023: The 6th International Conference on Information Science and Systems, Edinburgh

In recent years, text has been the main form of communication on social media platforms such as Twitter, Reddit, Facebook, Instagram and YouTube. Emotion Recognition from these platforms can be exploited for all sorts of applications. Through the mea... Read More about Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques.