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Modeling of uncertain nonlinear system with Z-numbers (2021)
Book Chapter
Jafari, R., Razvarz, S., Gegov, A., & Paul, S. (2021). Modeling of uncertain nonlinear system with Z-numbers. In Encyclopedia of Information Science and Technology (290-314). IGI Global. https://doi.org/10.4018/978-1-7998-3479-3.ch022

In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network ap... Read More about Modeling of uncertain nonlinear system with Z-numbers.

Governing AI safety through independent audits (2021)
Journal Article
Falco, G., Shneiderman, B., Badger, J., Carrier, R., Dahbura, A., Danks, D., …Yeong, Z. K. (2021). Governing AI safety through independent audits. Nature Machine Intelligence, 3(7), 566-571. https://doi.org/10.1038/s42256-021-00370-7

Highly automated systems are becoming omnipresent. They range in function from self-driving vehicles to advanced medical diagnostics and afford many benefits. However, there are assurance challenges that have become increasingly visible in high-profi... Read More about Governing AI safety through independent audits.

Propofol detection for monitoring of intravenous anaesthesia: A review (2021)
Journal Article
Ferrier, D., Kiely, J., & Luxton, R. (in press). Propofol detection for monitoring of intravenous anaesthesia: A review. Journal of Clinical Monitoring and Computing, https://doi.org/10.1007/s10877-021-00738-5

This paper presents a review of established and emerging methods for detecting and quantifying the intravenous anaesthetic propofol in solution. There is growing evidence of numerous advantages of total intravenous anaesthesia using propofol compared... Read More about Propofol detection for monitoring of intravenous anaesthesia: A review.

Patient reported psychosocial functioning following successful ptosis surgery (2021)
Journal Article
Richards, H., Jenkinson, E., White, P., & Harrad, R. (in press). Patient reported psychosocial functioning following successful ptosis surgery. Eye,

Ptosis may result in increased anxiety, appearance-related distress and social avoidance, and impacts visual function. Previous work demonstrates the benefits of ptosis surgery for health-related quality of life, but there is a paucity of research co... Read More about Patient reported psychosocial functioning following successful ptosis surgery.

Role-play as responsible robotics: The virtual witness testimony role-play interview for investigating hazardous human-robot interactions (2021)
Journal Article
Webb, H., Dumitru, M., van Maris, A., Winkle, K., Jirotka, M., & Winfield, A. (2021). Role-play as responsible robotics: The virtual witness testimony role-play interview for investigating hazardous human-robot interactions. Frontiers in Robotics and AI, 8, https://doi.org/10.3389/frobt.2021.644336

The development of responsible robotics requires paying attention to responsibility within the research process in addition to responsibility as the outcome of research. This paper describes the preparation and application of a novel method to explor... Read More about Role-play as responsible robotics: The virtual witness testimony role-play interview for investigating hazardous human-robot interactions.

Modelling of the materials classification of in-orbit debris using DISCOSweb and other sources (2021)
Presentation / Conference
Toomer, C., Bolouri, A., Thompson, A., & Yalung, F. (2021, June). Modelling of the materials classification of in-orbit debris using DISCOSweb and other sources. Paper presented at Reinventing Space 2021, London

Space debris is a topic of growing concern as the space industry evolves. This paper describes the findings of a new model used to classify the materials used in current orbital objects. It utilises data from sources including ESA’s DISCOS (Database... Read More about Modelling of the materials classification of in-orbit debris using DISCOSweb and other sources.

State filtering and parameter estimation for two input two output systems with time delay (2021)
Journal Article
Gu, Y., Zhu, Q., Li, C., Zhu, P., & Nouri, H. (in press). State filtering and parameter estimation for two input two output systems with time delay. IET Control Theory and Applications, https://doi.org/10.1049/cth2.12161

This paper focuses on presenting a new identification algorithm to estimate the parameters and state variables for two-input two-output dynamic systems with time delay based on canonical state space models. First, the related input-output equation is... Read More about State filtering and parameter estimation for two input two output systems with time delay.

The effectiveness of remediating mathematical Common Student Errors in e-Assessments (2021)
Presentation / Conference
Sikurajapathi, I., Henderson, K., & Gwynllyw, . R. (2021, June). The effectiveness of remediating mathematical Common Student Errors in e-Assessments. Presented at E-Assessment in Mathematical Sciences (EAMS2021), Online

The Common Student Errors Project (CSE Project) has been running at the University of the West of England (UWE, Bristol) since 2017. The main aim of this project is to introduce a method to detect CSEs and to provide tailored feedback in Engineering... Read More about The effectiveness of remediating mathematical Common Student Errors in e-Assessments.

Onshoring through automation; Perpetuating inequality? (2021)
Journal Article
Studley, M. (2021). Onshoring through automation; Perpetuating inequality?. Frontiers in Robotics and AI, 8, https://doi.org/10.3389/frobt.2021.634297

Many analyses of the ethical, legal and societal impacts of robotics are focussed on Europe and the United States. In this article I discuss the impacts of robotics on developing nations in a connected world, and make the case that international equi... Read More about Onshoring through automation; Perpetuating inequality?.

DMPs-based skill learning for redundant dual-arm robotic synchronized cooperative manipulation (2021)
Journal Article
Lu, Z., Wang, N., & Shi, D. (in press). DMPs-based skill learning for redundant dual-arm robotic synchronized cooperative manipulation. Complex and Intelligent Systems, https://doi.org/10.1007/s40747-021-00429-3

Dual-arm robot manipulation is applicable to many domains, such as industrial, medical, and home service scenes. Learning from demonstrations (LfD) is a highly effective paradigm for robotic learning, where a robot learns from human actions directly... Read More about DMPs-based skill learning for redundant dual-arm robotic synchronized cooperative manipulation.

Safety assessment review of a dressing assistance robot (2021)
Journal Article
Delgado Bellamy, D., Chance, G., Caleb-Solly, P., & Dogramadzi, S. (2021). Safety assessment review of a dressing assistance robot. Frontiers in Robotics and AI, 8, https://doi.org/10.3389/frobt.2021.667316

Hazard analysis methods such as HAZOP and STPA have proven to be effective methods for assurance of system safety for years. However, the dimensionality and human factors uncertainty of many assistive robotic applications challenges the capability of... Read More about Safety assessment review of a dressing assistance robot.

A novel iterative identification based on the optimised topology for common state monitoring in wireless sensor networks (2021)
Journal Article
Lu, Z., Wang, N., & Yang, C. (in press). A novel iterative identification based on the optimised topology for common state monitoring in wireless sensor networks. International Journal of Systems Science, https://doi.org/10.1080/00207721.2021.1936275

Power consumption and data redundancy of wireless sensor networks (WSN) are widely considered for a distributed state monitoring network. For reducing the energy consumption and data amount, we propose a topology optimisation and an iterative paramet... Read More about A novel iterative identification based on the optimised topology for common state monitoring in wireless sensor networks.

Topology morphing lattice structures (2021)
Conference Proceeding
Sundararaman, V., O'Donnell, M., Weaver, P., & Chenchiah, I. (in press). Topology morphing lattice structures

Planar cellular lattice structures subject to axial compression may undergo elastic bending or buckling of the unit cells. If sufficient compression is applied, the columns of adjacent cells make contact. This changes the topology of the lattice by e... Read More about Topology morphing lattice structures.

Public engagement promotes consumer choice in favour of sustainable palm oil (2021)
Journal Article
Hobbs, L., Phillips, J., Staff, A., Goss, A., Fogg-Rogers, L., & Ellwood, F. (in press). Public engagement promotes consumer choice in favour of sustainable palm oil. Journal of Oil Palm Research,

Despite the superior productivity, utility and economic benefits of palm oil compared with other oil crops, the palm oil industry often receives negative publicity for its environmental impact. As such, there is widespread confusion over the percepti... Read More about Public engagement promotes consumer choice in favour of sustainable palm oil.

Negative updating applied to the best-of-n problem with noisy qualities (2021)
Journal Article
Lee, C., Lawry, J., & Winfield, A. F. (2021). Negative updating applied to the best-of-n problem with noisy qualities. Swarm Intelligence, 15, 111-143. https://doi.org/10.1007/s11721-021-00188-4

The ability to perform well in the presence of noise is an important consideration when evaluating the effectiveness of a collective decision-making framework. Any system deployed for real-world applications will have to perform well in complex and u... Read More about Negative updating applied to the best-of-n problem with noisy qualities.

“They were aware of who I was as a person”: Patients’ and health professionals’ experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction (2021)
Journal Article
Tollow, P., Paraskeva, N., Clarke, A., White, P., Powell, J., Cox, D., & Harcourt, D. (in press). “They were aware of who I was as a person”: Patients’ and health professionals’ experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction. European Journal of Cancer Care, https://doi.org/10.1111/ecc.13464

Objective: Many women choose to have breast reconstruction after mastectomy, however, decision-making can be difficult and expectations are often unmet. The PEGASUS intervention (Patient Expectations and Goals: Assisting Shared Understanding of Surge... Read More about “They were aware of who I was as a person”: Patients’ and health professionals’ experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction.

Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model (2021)
Book Chapter
Olisah, C. C., Ilori, O. O., Adelaja, K., Usip, P. U., Uzoechi, L. O., Adeyanju, I. A., & Odumuyiwa, V. T. (2021). Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model. In Data Science for COVID-19 (583-596). Elsevier. https://doi.org/10.1016/b978-0-12-824536-1.00002-2

COVID-19: the new wave of a global pandemic, is bringing about an increasing number of scientific efforts aimed at enabling governments to make informed decisions. In this paper, we explore the negative binomial regression model from the family of ge... Read More about Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model.

Low-frequency oscillation damping control for large-scale power system with simplified virtual synchronous machine (2021)
Journal Article
Sebaa, K., Zhou, Y., Li, Y., Gelen, A., & Nouri, H. (in press). Low-frequency oscillation damping control for large-scale power system with simplified virtual synchronous machine. Journal of Modern Power Systems and Clean Energy, https://doi.org/10.35833/MPCE.2020.000340

This study focuses on a virtual synchronous machine (VSM) based on voltage source converters to mimic the behavior of synchronous machines (SMs) and improve the damping ratio of the power system. The VSM model is simplified according to some assumpti... Read More about Low-frequency oscillation damping control for large-scale power system with simplified virtual synchronous machine.