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All Outputs (328)

StructureNet: Deep Context Attention Learning for Structural Component Recognition (2022)
Conference Proceeding
Kaothalkar, A., Mandal, B., & Puhan, N. (2022). StructureNet: Deep Context Attention Learning for Structural Component Recognition. . https://doi.org/10.5220/0010872800003124

Structural component recognition using images is a very challenging task due to the appearance of large components and their long continuation, existing jointly with very small components, the latter are often outcasted/missed by the existing methodo... Read More about StructureNet: Deep Context Attention Learning for Structural Component Recognition.

HLA-C*06:02 allele is associated with higher drug survival in patients with psoriasis on ustekinumab: an analysis from the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR), on behalf of the BADBIR and BSTOP study groups (2022)
Conference Proceeding
Alabas, O., Mason, K., Yiu, Z., Warren, R., Dand, N., Barker, J., …Griffiths, C. (2022). HLA-C*06:02 allele is associated with higher drug survival in patients with psoriasis on ustekinumab: an analysis from the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR), on behalf of the BADBIR and BSTOP study groups.

Designing Outside of the Classroom: Branding Design for Thai Traditional Pottery (2022)
Conference Proceeding
Tiwasing, W., Ames, B., & Tiwasing, P. (2022). Designing Outside of the Classroom: Branding Design for Thai Traditional Pottery. . https://doi.org/10.22492/issn.2189-1036.2022.20

This research aims to develop branding for pottery products in Maha Sarakham, Thailand and to generate the collaboration between the local community and university. Ban Mo village, which is the community dedicated to pottery making, is used as the ca... Read More about Designing Outside of the Classroom: Branding Design for Thai Traditional Pottery.

Joint Action in Deaf and Hearing Toddlers: A Mobile Eye-Tracking Study (2021)
Conference Proceeding
Monroy, C., Houston, D., & Yu, C. (2021). Joint Action in Deaf and Hearing Toddlers: A Mobile Eye-Tracking Study.

Infants experience the world through their actions with objects and their interactions with other people, especially their parents. Prior research has shown that school-age children with hearing loss experience poorer quality interactions with typica... Read More about Joint Action in Deaf and Hearing Toddlers: A Mobile Eye-Tracking Study.

The building “bricks” of informal STEM education: Narratives of a participatory project on aspirations for development in rural Malaysia (2021)
Conference Proceeding
Anuar, A. (2021). The building “bricks” of informal STEM education: Narratives of a participatory project on aspirations for development in rural Malaysia.

In the mainstream, national development is often defined in terms of economic growth that privileges modernity, urbanization and scientific expertise. The promise of science, technology and innovation in contributing to development is reified through... Read More about The building “bricks” of informal STEM education: Narratives of a participatory project on aspirations for development in rural Malaysia.

Compounding barriers to fairness in the digital technology ecosystem (2021)
Conference Proceeding
Woolley, S. I., Collins, T., Andras, P., Gardner, A., Ortolani, M., & Pitt, J. (2021). Compounding barriers to fairness in the digital technology ecosystem. . https://doi.org/10.1109/ISTAS52410.2021.9629166

A growing sense of unfairness permeates our quasi-digital society. Despite drivers supporting and motivating ethical practice in the digital technology ecosystem, there are compounding barriers to fairness that, at every level, impact technology inno... Read More about Compounding barriers to fairness in the digital technology ecosystem.

Federated learning for AI to improve patient care using wearable and IoMT sensors (2021)
Conference Proceeding
Farhad, A., Woolley, S., & Andras, P. (2021). Federated learning for AI to improve patient care using wearable and IoMT sensors. . https://doi.org/10.1109/ichi52183.2021.00071

This paper presents a brief overview of ongoing research on creating a data-driven health monitoring and diagnostics ecosystem based on Artificial Intelligence (AI) and Internet of Medical Things (IoMT) sensors and wearables at the point where data i... Read More about Federated learning for AI to improve patient care using wearable and IoMT sensors.

Decoupled dust deposition and ocean productivity in the Antarctic Zone of the Southern Ocean (2021)
Conference Proceeding
Weber, M. E., Bailey, I., Hemming, S., Martos, Y. M., Reilly, B., Ronge, T. A., …Zheng, X. (2021). Decoupled dust deposition and ocean productivity in the Antarctic Zone of the Southern Ocean.

Southern Ocean paleoceanography provides key insights into how iron fertilization and oceanic productivity developed through Pleistocene ice-ages and their role in influencing the carbon cycle. We report the first high-resolution record of dust depos... Read More about Decoupled dust deposition and ocean productivity in the Antarctic Zone of the Southern Ocean.

A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks (2021)
Conference Proceeding
Hasan, M. M., Jahan, M., Kabir, S., & Wagner, C. (in press). A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks. . https://doi.org/10.1109/fuzz45933.2021.9494428

Trust estimation of vehicles is vital for the correct functioning of Vehicular Ad Hoc Networks (VANETs) as it enhances their security by identifying reliable vehicles. However, accurate trust estimation still remains distant as existing works do not... Read More about A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks.

Interval-Valued Regression - Sensitivity to Data Set Features (2021)
Conference Proceeding
Kabir, S., & Wagner, C. (in press). Interval-Valued Regression - Sensitivity to Data Set Features. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494554

Regression represents one of the most basic building blocks of data analysis and AI. Despite growing interest in interval-valued data across various fields, approaches to establish regression models for interval-valued data which address and handle t... Read More about Interval-Valued Regression - Sensitivity to Data Set Features.