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Outputs (663)

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees (2022)
Journal Article
Stefanec, M., Hofstadler, D. N., Krajník, T., Turgut, A. E., Alemdar, H., Lennox, B., …Schmickl, T. (2022). A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees. Frontiers in Robotics and AI, 9, Article 791921. https://doi.org/10.3389/frobt.2022.791921

Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen b... Read More about A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees.

RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis (2022)
Journal Article
Organisciak, D., Shum, H. P., Nwoye, E., & Woo, W. L. (2022). RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis. Expert Systems with Applications, 201, Article 117158. https://doi.org/10.1016/j.eswa.2022.117158

Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has recently become a popular way to analyse and interpret medical data. P... Read More about RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis.

ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR (2022)
Journal Article
Shakeel, A., Walters, R. J., Ebmeier, S. K., & Moubayed, N. A. (2022). ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR. IEEE Transactions on Geoscience and Remote Sensing, 60, https://doi.org/10.1109/tgrs.2022.3169455

In this study, we address the challenging problem of automatic detection of transient deformation of the Earth’s crust in time series of differential satellite radar [interferometric synthetic aperture radar (InSAR)] images. The detection of these ev... Read More about ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR.

Effect of wearing different types of face masks during dynamic and isometric resistance training on intraocular pressure (2022)
Journal Article
Vera, J., Redondo, B., Koulieris, G., Jiménez, R., & García-Ramos, A. (2023). Effect of wearing different types of face masks during dynamic and isometric resistance training on intraocular pressure. Clinical and Experimental Optometry, 106(5), 503-508. https://doi.org/10.1080/08164622.2022.2054315

Clinical relevance: The use of face masks has demonstrated to be an effective strategy to prevent transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Wearing face masks, mainly Filtering Face Piece 2 (FFP2) masks, during exe... Read More about Effect of wearing different types of face masks during dynamic and isometric resistance training on intraocular pressure.

Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring (2022)
Journal Article
Hu, J., Niu, H., Carrasco, J., Lennox, B., & Arvin, F. (2022). Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring. Aerospace Science and Technology, 123, Article 107494. https://doi.org/10.1016/j.ast.2022.107494

Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention due to its wide practical applications including search and rescue, cooperative exploration and target surveillance. Motivated by the flexibility of the UAVs and... Read More about Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring.

Robust formation control for networked robotic systems using Negative Imaginary dynamics (2022)
Journal Article
Hu, J., Lennox, B., & Arvin, F. (2022). Robust formation control for networked robotic systems using Negative Imaginary dynamics. Automatica, 140, Article 110235. https://doi.org/10.1016/j.automatica.2022.110235

This paper proposes a consensus-based formation tracking scheme for multi-robot systems utilizing the Negative Imaginary (NI) theory. The proposed scheme applies to a class of networked robotic systems that can be modelled as a group of single integr... Read More about Robust formation control for networked robotic systems using Negative Imaginary dynamics.

Big data for human security: The case of COVID-19 (2022)
Journal Article
Cárdenas, P., Ivrissimtzis, I., Obara, B., Kureshi, I., & Theodoropoulos, G. (2022). Big data for human security: The case of COVID-19. Journal of Computational Science, 60, Article 101574. https://doi.org/10.1016/j.jocs.2022.101574

The COVID-19 epidemic has changed the world dramatically since societies are changing their behaviour according to the new normal, which comes along with numerous challenges and uncertainties. These uncertainties have led to instabilities in several... Read More about Big data for human security: The case of COVID-19.

Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning (2022)
Journal Article
Na, S., Niu, H., Lennox, B., & Arvin, F. (2022). Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology, 71(3), 2511-2526. https://doi.org/10.1109/tvt.2022.3145346

Autonomous vehicles have been highlighted as a major growth area for future transportation systems and the deployment of large numbers of these vehicles is expected when safety and legal challenges are overcome. To meet the necessary safety standards... Read More about Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning.

A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants (2021)
Journal Article
McCay, K. D., Hu, P., Shum, H. P., Woo, W. L., Marcroft, C., Embleton, N. D., …Ho, E. S. (2022). A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 8-19. https://doi.org/10.1109/tnsre.2021.3138185

The early diagnosis of cerebral palsy is an area which has recently seen significant multi-disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA), have produced some very promising results. However, the prospect of aut... Read More about A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants.

A directed graph convolutional neural network for edge-structured signals in link-fault detection (2021)
Journal Article
Kenning, M., Deng, J., Edwards, M., & Xie, X. (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters, 153, 100-106. https://doi.org/10.1016/j.patrec.2021.12.003

The growing interest in graph deep learning has led to a surge of research focusing on learning various characteristics of graph-structured data. Directed graphs have generally been treated as incidental to definitions on the more general class of un... Read More about A directed graph convolutional neural network for edge-structured signals in link-fault detection.

PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction (2021)
Journal Article
Men, Q., & Shum, H. P. (2022). PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction. Software impacts, 11, Article 100201. https://doi.org/10.1016/j.simpa.2021.100201

Trajectory Prediction under diverse patterns has attracted increasing attention in multiple real-world applications ranging from urban traffic analysis to human motion understanding, among which graph convolution network (GCN) is frequently adopted w... Read More about PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction.

Ask me in your own words: paraphrasing for multitask question answering (2021)
Journal Article
Hudson, G. T., & Al Moubayed, N. (2021). Ask me in your own words: paraphrasing for multitask question answering. PeerJ Computer Science, 7, Article e759. https://doi.org/10.7717/peerj-cs.759

Multitask learning has led to significant advances in Natural Language Processing, including the decaNLP benchmark where question answering is used to frame 10 natural language understanding tasks in a single model. In this work we show how models tr... Read More about Ask me in your own words: paraphrasing for multitask question answering.

Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control (2021)
Journal Article
Vera, J., Redondo, B., Galan, T., Machado, P., Molina, R., Koulieris, G., & Jiménez, R. (2023). Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control. Contact Lens & Anterior Eye, 46(1), Article 101526. https://doi.org/10.1016/j.clae.2021.101526

Objective To assess the impact of using dual-focus soft contact lenses for myopia control on the dynamics of the accommodative response and facility. Methods 24 young adult myopes were fitted with dual-focus soft contact lenses for myopia control (Mi... Read More about Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control.

Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation (2021)
Journal Article
Wang, Q., & Breckon, T. (2022). Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation. Pattern Recognition, 123, Article 108362. https://doi.org/10.1016/j.patcog.2021.108362

Heterogeneous Domain Adaptation (HDA) addresses the transfer learning problems where data from the source and target domains are of different modalities (e.g., texts and images) or feature dimensions (e.g., features extracted with different methods).... Read More about Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation.

GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction (2021)
Journal Article
Men, Q., Shum, H. P., Ho, E. S., & Leung, H. (2022). GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction. Computers and Graphics, 102, 634-645. https://doi.org/10.1016/j.cag.2021.09.014

Creating realistic characters that can react to the users’ or another character’s movement can benefit computer graphics, games and virtual reality hugely. However, synthesizing such reactive motions in human-human interactions is a challenging task... Read More about GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction.

Examining the Validity of a New Method for the Objective Assessment of Binocular Accommodative Facility (2Q-AF Test): A Comparison with ± 2.00 DS Lens Flippers (2021)
Journal Article
Vera, J., Redondo, B., Koulieris, G., Molina, R., & Jiménez, R. (2022). Examining the Validity of a New Method for the Objective Assessment of Binocular Accommodative Facility (2Q-AF Test): A Comparison with ± 2.00 DS Lens Flippers. Current Eye Research, 47(1), 62-68. https://doi.org/10.1080/02713683.2021.1962359

Purpose: Recent technological advances have permitted to objectively record the accommodative response while shifting between two different levels of accommodation. This study is aimed at examining the concurrent validity of a new objective method fo... Read More about Examining the Validity of a New Method for the Objective Assessment of Binocular Accommodative Facility (2Q-AF Test): A Comparison with ± 2.00 DS Lens Flippers.