• Product risk assessment: a Bayesian network approach 

  Hunte, J; Neil, M; Fenton, N (arXiv, 2021)

  Product risk assessment is the overall process of determining whether a product, which could be anything from a type of washing machine to a type of teddy bear, is judged safe for consumers to use. There are several methods ...

• Dynamic Computation Offloading for MIMO Mobile Edge Computing Systems with Energy Harvesting 

  Zhou, W; Xing, L; Xia, J; Fan, L; Nallanathan, A (IEEE, 2021-04-01)

  By providing spatial diversity gain, the incorporation of multiple antennas into mobile edge computing (MEC) systems can improve the transmission performance. Meanwhile, employing energy harvesting (EH) helps enhance the ...

• Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints 

  Ihalage, A; Hao, Y (Nature Publishing Group, 2021-05-21)

  Compositional disorder induces myriad captivating phenomena in perovskites. Target-driven discovery of perovskite solid solutions has been a great challenge due to the analytical complexity introduced by disorder. Here, ...

• Graphene-based soft wearable antennas 

  Ibanez-Labiano, I; Ergoktas, MS; Kocabas, C; Toomey, A; Alomainy, A; Ozden-Yenigun, E (Elsevier, 2020-06)

  Electronic textiles (e-textiles) are about to face tremendous environmental and resource challenges due to the complexity of sorting, the risk to supplies and metal contamination in textile recycling streams. This is because ...

• On the limitations of probabilistic claims about the probative value of mixed DNA profile evidence 

  Fenton, N; Jamieson, A; Gomes, S; Neil, M (arXiv, 2021)

  The likelihood ratio (LR) is a commonly used measure for determining the strength of forensic match evidence. When a forensic expert determines a high LR for DNA found at a crime scene matching the DNA profile of a suspect ...

• The relationship between mental well-being and dysregulated gaming: a specification curve analysis of core and peripheral criteria in five gaming disorder scales. 

  Ballou, N; Van Rooij, AJ (Royal Society Publishing, 2021-05-26)

  Gaming disorder (also known as dysregulated gaming) has received significant research and policy attention based on concerns that certain patterns of play are associated with decreased mental well-being and/or functional ...

• Virtual Reality based Telerobotics Framework with Depth Cameras 

  Omarali, B; Denoun, B; Althoefer, K; Jamone, L; Valle, M; Farkhatdinov, I; IEEE (IEEE, 2020)

  This work describes a virtual reality (VR) based robot teleoperation framework which relies on scene visualization from depth cameras and implements human-robot and human-scene interaction gestures. We suggest that mounting ...

• Violinist identification based on vibrato features 

  Zhao, Y; Wang, C; Fazekas, G; Benetos, E; Sandler, M; 29th European Signal Processing Conference (EUSIPCO) (EURASIP, 2021-08-23)

  Identifying performers from polyphonic music is a challenging task in music information retrieval. As a ubiquitous expressive element in violin music, vibrato contains important information about the performers' interpretation. ...

• An Inhomogeneous Structured Eversion Actuator 

  Abrar, T; Hassan, A; Putzu, F; Godaba, H; Ataka, A; Althoefer, K (Springer, 2020-12-01)

  Soft actuators are free from any rigid, bulky, and hard components. This is greatly beneficial towards achieving compliant actuation and safe interactions in robots. Inspired by the eversion principle, we develop a novel ...

• Highly Manoeuvrable Eversion Robot Based on Fusion of Function with Structure 

  Abrar, T; Putzu, F; Rizqi, A; Godaba, H; Althoefer, K; Ieee icra 2021 (IEEE, 2021)

  Despite their soft and compliant bodies, most of today’s soft robots have limitations when it comes to elongation or extension of their main structure. In contrast to this, a new type of soft robot called the eversion robot ...

• XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging 

  Phan, H; Chen, OY; Tran, MC; Koch, P; Mertins, A; De Vos, M (Institute of Electrical and Electronics Engineers (IEEE), 2021-03)

  Automating sleep staging is vital to scale up sleep assessment and diagnosis to serve millions experiencing sleep deprivation and disorders and enable longitudinal sleep monitoring in home environments. This work proposes ...

• Intelligent control method for the dynamic rangecompressor: A user study 

  Singh, S

• A Modulation Front-End for Music Audio Tagging 

  Vahidi, C; Fazekas, G; Saitis, C; The International Joint Conference on Neural Networks

  Convolutional Neural Networks have been extensively explored in the task of automatic music tagging. The problem can be approached by using either engineered time-frequency features or raw audio as input. Modulation filter ...

• On mediating space, sound and experience: interviews with situated sound art practitioners 

  Robson, N; Bryan-Kinns, N; Mcpherson, A

  This article reports on an interview-based study with ten sound artists and composers, all engaged in situated sonic practices. We propose that these artists engage the ear and shape possible interactions with the artwork ...

• Olly: A tangible for togetherness 

  Nonnis, A; Bryan-Kinns, N (2021-09-01)

  This research explores how tangible interactive technology might offer opportunities for socialization and sensory regulation. We present a study carried out in an educational setting during leisure activities with a small ...

• Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition 

  Sanchez, E; Tellamekala, MK; Valstar, M; Tzimiropoulos, G; IEEE/CVF Conference on Computer Vision and Pattern Recognition (2021-06-21)

  © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or ...

• A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation 

  Ntinou, IN; Sanchez, E; Bulat, A; Tzimiropoulos, G; Valstar, M

  © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or ...

• Self-supervised Learning of Person-specific Facial Dynamics for Automatic Personality Recognition 

  Song, S; Jaiswal, S; Sanchez, E; Tzimiropoulos, G; Shen, L; Valstar, M

  © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or ...

• Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach 

  Ahsan, W; Yi, W; Qin, Z; Liu, Y; Nallanathan, A (IEEE, 2021-03-01)

  Non-orthogonal multiple access (NOMA) exploits the potential of the power domain to enhance the connectivity for the Internet of Things (IoT). Due to time-varying communication channels, dynamic user clustering is a promising ...

• Reinforcement Learning in Sparse-Reward Environments with Hindsight Policy Gradients 

  Rauber, P; Ummadisingu, A; Mutz, F; Schmidhuber, J (Massachusetts Institute of Technology Press (MIT Press), 2021-05)

  A reinforcement learning agent that needs to pursue different goals across episodes requires a goal-conditional policy. In addition to their potential to generalize desirable behavior to unseen goals, such policies may ...

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