Outputs (2332)

CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images (2025)
Journal Article
Li, J., Xu, Q., He, X., Liu, Z., Zhang, D., Wang, R., Qu, R., & Qiu, G. (2026). CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images. Expert Systems with Applications, 295, Article 128835. https://doi.org/10.1016/j.eswa.2025.128835

Medical image segmentation plays an important role in computer-aided diagnosis. Existing methods mainly utilize spatial attention to highlight the region of interest. However, due to limitations of medical imaging devices, medical images exhibit sign... Read More about CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images.

Responsible and Adaptive Robots in Care Home Settings: An Implementation Framework Analysis of a Workshop with Public and Professionals (2025)
Journal Article
Boudouraki, A., Waheed, M., Mestre, R., Landowska, A., Georgara, A., Deshmukh, J., Singh, L., Abioye, A. O., Tan, N., Tuyen, V., Dong, Y., Ao, S., Price, D., Fischer, J., & Gomez Bergin, A. (in press). Responsible and Adaptive Robots in Care Home Settings: An Implementation Framework Analysis of a Workshop with Public and Professionals. Frontiers in Robotics and AI,

As populations grow, research looks to emerging adaptive technologies for the urgent challenge in providing suitable care for older adults. Drawing on implementation science, we conducted a holistic examination looking at broader, contextual factors... Read More about Responsible and Adaptive Robots in Care Home Settings: An Implementation Framework Analysis of a Workshop with Public and Professionals.

Applying cross-modal plasticity principles in auditory training applications (2025)
Journal Article
Huang, Q., Stawarz, K., Zhao, L., Yang, S., Xie, W., Song, F., & Liu, H. (2025). Applying cross-modal plasticity principles in auditory training applications. International Journal of Human-Computer Studies, 203, Article 103570. https://doi.org/10.1016/j.ijhcs.2025.103570

Research indicates that a significant number of individuals are in a suboptimal auditory health state, yet their auditory function can potentially be improved through auditory training. To raise awareness of auditory health issues, auditory training... Read More about Applying cross-modal plasticity principles in auditory training applications.

Neuromorphic Data Transformations for Sustainable VR Art Applications (2025)
Presentation / Conference Contribution
Shvets, A., & Trzepizur, A. (2025, June). Neuromorphic Data Transformations for Sustainable VR Art Applications. Paper presented at 10th International XR-Metaverse Conference 2025, Maastricht, Netherlands

A previously proposed method for adapting 2D digital audiovisual artwork to Virtual Reality (VR) environments utilized time-distributed data (TDD) generators derived from the neuromorphic computing domain. This research advances that approach by emph... Read More about Neuromorphic Data Transformations for Sustainable VR Art Applications.

The hidden barriers to cyber security adoption amongst Small and Medium-Sized Enterprises (2025)
Journal Article
Khan, N., Furnell, S., Bada, M., Nurse, J., & Rand, M. (in press). The hidden barriers to cyber security adoption amongst Small and Medium-Sized Enterprises. Information Management and Computer Security,

Ordinal Exponentiation in Homotopy Type Theory (2025)
Presentation / Conference Contribution
de Jong, T., Kraus, N., Nordvall Forsberg, F., & Xu, C. (2025, June). Ordinal Exponentiation in Homotopy Type Theory. Presented at Fortieth Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2025), Singapore

We present two seemingly different definitions of constructive ordinal exponentiation, where an ordinal is taken to be a transitive, extensional, and wellfounded order on a set. The first definition is abstract, uses suprema of ordinals, and is solel... Read More about Ordinal Exponentiation in Homotopy Type Theory.

Decoupled, Wearable Soft Robotic Rehabilitation Device for the Upper Limb (2025)
Journal Article
Greig, J., Mcinnes, M., Chadwick, E. K., & Giannaccini, M. E. (in press). Decoupled, Wearable Soft Robotic Rehabilitation Device for the Upper Limb. Wearable Technologies,

Lightweight, adjustable and affordable devices are needed to enable the next generation of effective, wearable adjuncts for rehabilitation. Used at home or in a rehabilitation setting, these have the potential to reduce compound pressures on hospital... Read More about Decoupled, Wearable Soft Robotic Rehabilitation Device for the Upper Limb.

Towards Accessible Auditory Health: A Cloud-Based fNIRS Solution for Auditory Training and Assessment (2025)
Journal Article
Huang, Q., Liu, J., Li, Y., Zhao, L., Stawarz, K., & Liu, H. (2025). Towards Accessible Auditory Health: A Cloud-Based fNIRS Solution for Auditory Training and Assessment. IEEE Transactions on Instrumentation and Measurement, https://doi.org/10.1109/tim.2025.3580795

Auditory training (AT) is a proactive intervention for managing auditory health and preventing hearing loss. However, in its current form, it requires significant financial and time resources. As the excellent performance of functional near-infrared... Read More about Towards Accessible Auditory Health: A Cloud-Based fNIRS Solution for Auditory Training and Assessment.

The Ethics of Data and Its Governance: A Discourse Theoretical Approach (2025)
Journal Article
Stahl, B. C. (2025). The Ethics of Data and Its Governance: A Discourse Theoretical Approach. Information, 16(6), Article 497. https://doi.org/10.3390/info16060497

The rapidly growing amount and importance of data across all aspects of organisations and society have led to urgent calls for better, more comprehensive and applicable approaches to data governance. One key driver of this is the use of data in machi... Read More about The Ethics of Data and Its Governance: A Discourse Theoretical Approach.

Is Temporal Prompting All We Need For Limited Labeled Action Recognition? (2025)
Presentation / Conference Contribution
Gowda, S. N., Gao, B., Gu, X., & Jin, X. (2025, June). Is Temporal Prompting All We Need For Limited Labeled Action Recognition?. Presented at 2025 IEEE CVPR Workshop on Fair, Data-efficient, and Trusted Computer Vision, Nashville, TN, USA

Video understanding has shown remarkable improvements in recent years, largely dependent on the availability of large scaled labeled datasets. Recent advancements in visual-language models, especially based on contrastive pretraining, have shown rema... Read More about Is Temporal Prompting All We Need For Limited Labeled Action Recognition?.