All Outputs (896)

An Efficient Federated Distillation Learning System for Multitask Time Series Classification (2022)
Journal Article
Xing, H., Xiao, Z., Qu, R., Zhu, Z., & Zhao, B. (2022). An Efficient Federated Distillation Learning System for Multitask Time Series Classification. IEEE Transactions on Instrumentation and Measurement, 71, https://doi.org/10.1109/TIM.2022.3201203

This paper proposes an efficient federated distillation learning system (EFDLS) for multi-task time series classification (TSC). EFDLS consists of a central server and multiple mobile users, where different users may run different TSC tasks. EFDLS ha... Read More about An Efficient Federated Distillation Learning System for Multitask Time Series Classification.

Trustworthy UAV Relationships: Applying the Schema Action World Taxonomy to UAVs and UAV Swarm Operations (2022)
Journal Article
Parnell, K. J., Fischer, J. E., Clark, J. R., Bodenmann, A., Galvez Trigo, M. J., Brito, M. P., …Ramchurn, S. D. (2023). Trustworthy UAV Relationships: Applying the Schema Action World Taxonomy to UAVs and UAV Swarm Operations. International Journal of Human-Computer Interaction, 39(20), 4042-4058. https://doi.org/10.1080/10447318.2022.2108961

Human Factors play a significant role in the development and integration of avionic systems to ensure that they are trusted and can be used effectively. As Unoccupied Aerial Vehicle (UAV) technology becomes increasingly important to the aviation doma... Read More about Trustworthy UAV Relationships: Applying the Schema Action World Taxonomy to UAVs and UAV Swarm Operations.

Forgotten African AI Narratives and the future of AI in Africa (2022)
Journal Article
Eke, D., & Ogoh, G. (2022). Forgotten African AI Narratives and the future of AI in Africa. International Review of Information Ethics, 31(1), https://doi.org/10.29173/irie482

Ancient and contemporary imaginative thoughts, stories, literary works, and beliefs about intelligent machines or otherwise known as AI narratives influence the development, implementation and governance of AI. Responsible AI therefore requires the u... Read More about Forgotten African AI Narratives and the future of AI in Africa.

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations (2022)
Journal Article
Dykes, J., Abdul-Rahman, A., Archambault, D., Bach, B., Borgo, R., Chen, M., …Xu, K. (2022). Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 380(2233), https://doi.org/10.1098/rsta.2021.0299

We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and pra... Read More about Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

Automated Design of Metaheuristics Using Reinforcement Learning within a Novel General Search Framework (2022)
Journal Article
Yi, W., Qu, R., Jiao, L., & Niu, B. (2023). Automated Design of Metaheuristics Using Reinforcement Learning within a Novel General Search Framework. IEEE Transactions on Evolutionary Computation, 27(4), 1072-1084. https://doi.org/10.1109/TEVC.2022.3197298

Metaheuristic algorithms have been investigated intensively to address highly complex combinatorial optimisation problems. However, most metaheuristic algorithms have been designed manually by researchers of different expertise without a consistent f... Read More about Automated Design of Metaheuristics Using Reinforcement Learning within a Novel General Search Framework.

Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project (2022)
Journal Article
Andrews, J. A., Rawsthorne, M., Manolescu, C., Burton McFaul, M., French, B., Rye, E., …Malins, S. (2022). Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project. Journal of Responsible Technology, 11, Article 100044. https://doi.org/10.1016/j.jrt.2022.100044

Understanding stakeholders’ views on novel autonomous systems in healthcare is essential to ensure these are not abandoned after substantial investment has been made. The ExTRAPPOLATE project applied the principles of Responsible Research and Innovat... Read More about Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project.

Clinical laboratory parameters and comorbidities associated with severity of coronavirus disease 2019 (COVID-19) in Kurdistan Region of Iraq (2022)
Journal Article
Ali, H. N., Ali, K. M., Rostam, H. M., Ali, A. M., Tawfeeq, H. M., Fatah, M. H., & Figueredo, G. P. (2022). Clinical laboratory parameters and comorbidities associated with severity of coronavirus disease 2019 (COVID-19) in Kurdistan Region of Iraq. Practical Laboratory Medicine, 31, Article e00294. https://doi.org/10.1016/j.plabm.2022.e00294

Background: The pandemic coronavirus disease (COVID-19) dramatically spread worldwide. Considering several laboratory parameters and comorbidities may facilitate the assessment of disease severity. Early recognition of disease progression associated... Read More about Clinical laboratory parameters and comorbidities associated with severity of coronavirus disease 2019 (COVID-19) in Kurdistan Region of Iraq.

Many-objective test case generation for graphical user interface applications via search-based and model-based testing (2022)
Journal Article
de Santiago, V. A., Özcan, E., & Balera, J. M. (2022). Many-objective test case generation for graphical user interface applications via search-based and model-based testing. Expert Systems with Applications, 208, Article 118075. https://doi.org/10.1016/j.eswa.2022.118075

The majority of the studies that generate test cases for graphical user interface (GUI) applications are based on or address functional requirements only. In spite of the fact that interesting approaches have been proposed, they do not address functi... Read More about Many-objective test case generation for graphical user interface applications via search-based and model-based testing.

Nigeria’s Digital Identification (ID) Management Program: Ethical, Legal and Socio-Cultural concerns (2022)
Journal Article
Eke, D., Oloyede, R., Ochang, P., Borokini, F., Adeyeye, M., Sorbarikor, L., …Akintoye, S. (2022). Nigeria’s Digital Identification (ID) Management Program: Ethical, Legal and Socio-Cultural concerns. Journal of Responsible Technology, 11, Article 100039. https://doi.org/10.1016/j.jrt.2022.100039

National digital identity management systems have gained traction as a critical tool for inclusion of citizens in the increasingly digitised public services. With the help of the World Bank, countries around the world are committing to building and p... Read More about Nigeria’s Digital Identification (ID) Management Program: Ethical, Legal and Socio-Cultural concerns.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Journal Article
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. Journal of Sensor and Actuator Networks, 11(3), Article 35. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETS. In such a widespread safety critical application, security is paramount to the implementation of the networks. We view new autonomous ve... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse (2022)
Journal Article
Deveci, M., Mishra, A. R., Gokasar, I., Rani, P., Pamucar, D., & Ozcan, E. (2023). A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse. IEEE Transactions on Fuzzy Systems, 31(2), 475-484. https://doi.org/10.1109/TFUZZ.2022.3190613

Blockchain technology and metaverse advancements allow people to create virtual personalities and spend time online. Integrating public transportation into the metaverse could improve services and collect user data. This study introduces a hybrid dec... Read More about A Decision Support System for Assessing and Prioritizing Sustainable Urban Transportation in Metaverse.

LMISA: A Lightweight Multi-modality Image Segmentation Network via Domain Adaptation using Gradient Magnitude and Shape Constraint (2022)
Journal Article
Jafari, M., Francis, S., Garibaldi, J. M., & Chen, X. (2022). LMISA: A Lightweight Multi-modality Image Segmentation Network via Domain Adaptation using Gradient Magnitude and Shape Constraint. Medical Image Analysis, 81, Article 102536. https://doi.org/10.1016/j.media.2022.102536

In medical image segmentation, supervised machine learning models trained using one image modality (e.g. computed tomography (CT)) are often prone to failure when applied to another image modality (e.g. magnetic resonance imaging (MRI)) even for the... Read More about LMISA: A Lightweight Multi-modality Image Segmentation Network via Domain Adaptation using Gradient Magnitude and Shape Constraint.

A Collaborative Learning Tracking Network for Remote Sensing Videos (2022)
Journal Article
Li, X., Jiao, L., Zhu, H., Liu, F., Yang, S., Zhang, X., …Qu, R. (2023). A Collaborative Learning Tracking Network for Remote Sensing Videos. IEEE Transactions on Cybernetics, 53(3), 1954-1967. https://doi.org/10.1109/TCYB.2022.3182993

With the increasing accessibility of remote sensing videos, remote sensing tracking is gradually becoming a hot issue. However, accurately detecting and tracking in complex remote sensing scenes is still a challenge. In this article, we propose a col... Read More about A Collaborative Learning Tracking Network for Remote Sensing Videos.

Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task (2022)
Journal Article
Kok, Y. E., Woodward, S., Özcan, E., & Torres Torres, M. (2022). Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task. Molecular Informatics, 41(12), Article 2200068. https://doi.org/10.1002/minf.202200068

Chirality, the ability of some molecules to exist as two non-superimposable mirror images, profoundly influences both chemistry and biology. Advances in deep learning enable the automatic recognition of chemical structure diagrams, however, studies o... Read More about Identifying Chirality in Line Drawings of Molecules Using Imbalanced Dataset Sampler for a Multilabel Classification Task.

Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops (2022)
Journal Article
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. (2022). Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops. JMIR Serious Games, 10(2), Article e32489. https://doi.org/10.2196/32489

Background: Cognitive training and assessment technologies offer the promise of dementia risk reduction and a more timely diagnosis of dementia, respectively. Cognitive training games may help reduce the lifetime risk of dementia by helping to build... Read More about Perceptions of Cognitive Training Games and Assessment Technologies for Dementia: Acceptability Study with Patient and Public Involvement Workshops.

Crafting Trajectories of Smart Phone Use at the Opera (2022)
Journal Article
Greenhalgh, C., Hazzard, A., Benford, S., Cliffe, L., & Kelly, E. (2022). Crafting Trajectories of Smart Phone Use at the Opera. ACM Transactions on Computer-Human Interaction, 29(6), 1-37. https://doi.org/10.1145/3531007

Losing Her Voice is a new opera which highlights the challenges of subtly interweaving digital technologies into established cultural forms. Audience members were encouraged to use their own mobile phones to interact with on-stage projections before,... Read More about Crafting Trajectories of Smart Phone Use at the Opera.

Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response (2022)
Journal Article
Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr, S., & Archambault, D. (2022). Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response. Computer Graphics Forum, 41(3), 29-41. https://doi.org/10.1111/cgf.14520

Epidemiologists use individual-based models to (a) simulate disease spread over dynamic contact networks and (b) to investigate strategies to control the outbreak. These model simulations generate complex ‘infection maps’ of time-varying transmission... Read More about Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response.

Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships (2022)
Journal Article
Wallace, K. J., Wagner, C., Pannell, D. J., Kim, M. K., & Rogers, A. A. (2022). Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships. Journal of Environmental Management, 317, Article 115352. https://doi.org/10.1016/j.jenvman.2022.115352

Inadequate definition of key terms and their relationships generates significant communication and analytical problems in environmental planning. In this work, we evaluate an ontological framework for environmental planning designed to combat these p... Read More about Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships.

Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities (2022)
Journal Article
Calderon-Ramirez, S., Yang, S., Elizondo, D., & Moemeni, A. (2022). Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. Applied Soft Computing, 123, Article 108983. https://doi.org/10.1016/j.asoc.2022.108983

In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learning models usually need large labelled datasets to be effective. Semi-... Read More about Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities.

Modelling the emergence of cities and urban patterning using coupled integro-differential equations (2022)
Journal Article
Whiteley, T. D., Avitabile, D., Siebers, P. O., Robinson, D., & Owen, M. R. (2022). Modelling the emergence of cities and urban patterning using coupled integro-differential equations. Journal of the Royal Society, Interface, 19(190), Article 20220176. https://doi.org/10.1098/rsif.2022.0176

Human residential population distributions show patterns of higher density clustering around local services such as shops and places of employment, displaying characteristic length scales; Fourier transforms and spatial autocorrelation show the lengt... Read More about Modelling the emergence of cities and urban patterning using coupled integro-differential equations.