All Outputs (625)

Thermophysical properties of Nano-enhanced phase change materials for domestic heating applications (2021)
Journal Article
D'Oliveira, E. J., Pereira, S. C. C., Groulx, D., & Azimov, U. (2022). Thermophysical properties of Nano-enhanced phase change materials for domestic heating applications. Journal of Energy Storage, 46, Article 103794. https://doi.org/10.1016/j.est.2021.1

A major problem worldwide is the increase in global energy consumption due to the drastic growth in population and requirements to meet human thermal comfort. The residential sector is one of the biggest energy consumers, and the most significant sha... Read More about Thermophysical properties of Nano-enhanced phase change materials for domestic heating applications.

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls (2021)
Journal Article
Varone, G., Boulila, W., Lo Giudice, M., Benjdira, B., Mammone, N., Ieracitano, C., …Aguglia, U. (2022). A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls

Until now, clinicians are not able to evaluate the Psychogenic Non-Epileptic Seizures (PNES) from the rest-electroencephalography (EEG) readout. No EEG marker can help differentiate PNES cases from healthy subjects. In this paper, we have investigate... Read More about A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.

A framework for differentially-private knowledge graph embeddings (2021)
Journal Article
Han, X., Dell’Aglio, D., Grubenmann, T., Cheng, R., & Bernstein, A. (2022). A framework for differentially-private knowledge graph embeddings. Journal of Web Semantics, 72, Article 100696. https://doi.org/10.1016/j.websem.2021.100696

Knowledge graph (KG) embedding methods are at the basis of many KG-based data mining tasks, such as link prediction and node clustering. However, graphs may contain confidential information about people or organizations, which may be leaked via embed... Read More about A framework for differentially-private knowledge graph embeddings.

Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems (2021)
Journal Article
Tang, X., Zhou, Y., Zou, Y., & Zhang, Q. (2022). Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems. Entropy, 24(1), Article 25. https://doi.org/10.3390/e24010025

This paper investigates the randomness assignment problem for a class of continuous-time stochastic nonlinear systems, where variance and entropy are employed to describe the investigated systems. In particular, the system model is formulated by a st... Read More about Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems.

Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation (2021)
Journal Article
Bendiek, P., Taha, A., Abbasi, Q. H., & Barakat, B. (2022). Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation. Applied Sciences, 12(1), Article 134. https://doi.org/10.3390/app12010134

Solar forecasting plays a key part in the renewable energy transition. Major challenges, related to load balancing and grid stability, emerge when a high percentage of energy is provided by renewables. These can be tackled by new energy management st... Read More about Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation.

Promoting the Solar Industry in Ghana through Effective Public-Private Partnership (PPP): Some Lessons from South Africa and Morocco (2021)
Journal Article
Amo Awuku, S., Bennadji, A., Muhammad Sukki, F., & Sellami, N. (2022). Promoting the Solar Industry in Ghana through Effective Public-Private Partnership (PPP): Some Lessons from South Africa and Morocco. Energies, 15(1), Article 17. https://doi.org/10.33

Over the past decades, solar energy has gained much attention in Ghana, especially after the 2012–2016 power crisis. The government through Public-Private Partnerships (PPPs) has attempted to increase the shares of solar generation to augment its eff... Read More about Promoting the Solar Industry in Ghana through Effective Public-Private Partnership (PPP): Some Lessons from South Africa and Morocco.

A journey that motivates: Exploring the Associate Students Transition Framework (2021)
Presentation / Conference Contribution
Meharg, D., Varey, A., & Cairncross, S. (2021). A journey that motivates: Exploring the Associate Students Transition Framework. In 2021 IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109/FIE49875.2021.9637158

This research to practice full paper presents empirical work exploring the transition experiences of transfer students into computing degrees in Scotland. Students on this journey face transitional barriers as they adapt to the change in culture, com... Read More about A journey that motivates: Exploring the Associate Students Transition Framework.

Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control (2021)
Journal Article
Tang, Z., Yu, H., Yang, H., Zhang, L., & Zhang, L. (2022). Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control. Computers in Biology and Medicine, 141, Article 105156. https://doi.org/10.1016/j.com

Most studies on estimating user's joint angles to control upper-limb exoskeleton have focused on using surface electromyogram (sEMG) signals. However, the variations in limb velocity and acceleration can affect the sEMG data and decrease the angle es... Read More about Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control.

Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism (2021)
Journal Article
Wang, Y., Li, Z., Wang, X., Yu, H., Liao, W., & Arifoglu, D. (2021). Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism. Machines, 9(12), Article 367. https://doi.org/10.33

To date, several alterations in the gait pattern can be treated through rehabilitative approaches and robot assisted therapy (RAT). Gait data and gait trajectories are essential in specific exoskeleton control strategies. Nevertheless, the scarcity o... Read More about Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism.

An Eigendecomposition-based and Mesh-sensitivity Reduced Constitutive Model for Nonlinear Analysis of Concrete Structures under Non-proportional Cyclic Loading (2021)
Journal Article
Yuen, T. Y., Wen, T., Hung, C., Zhang, H., Huy Pham, P. A., & Deng, Y. (2022). An Eigendecomposition-based and Mesh-sensitivity Reduced Constitutive Model for Nonlinear Analysis of Concrete Structures under Non-proportional Cyclic Loading. Journal of Buil

Emerging 3D printed concrete techniques has raised numerous possibilities in contemporary architectural creations that are often beyond the scope of prevailing structural design standards. Rigorous, three-dimensional, and nonlinear finite element ana... Read More about An Eigendecomposition-based and Mesh-sensitivity Reduced Constitutive Model for Nonlinear Analysis of Concrete Structures under Non-proportional Cyclic Loading.

Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning (2021)
Journal Article
Parra-Ullauri, J. M., Garcoa-Dominguez, A., Bencomo, N., Zheng, C., Zhen, C., Boubeta-Puig, J., …Yang, S. (2022). Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning. Software and Systems Modeling, 21, 1091-1113. ht

Modern software systems are increasingly expected to show higher degrees of autonomy and self-management to cope with uncertain and diverse situations. As a consequence, autonomous systems can exhibit unexpected and surprising behaviours. This is... Read More about Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning.

A DEM Study On The Effect Of Inherent Variability In Assemblies Of Spherical Particles (2021)
Presentation / Conference Contribution
Leak, J., Barreto, D., & Dimitriadi, V. (2021, December). A DEM Study On The Effect Of Inherent Variability In Assemblies Of Spherical Particles. Paper presented at 18th Annual Geomechanics From Micro to Macro Conference, Dundee

These slides were presented at the 18th annual geomechanics from micro to macro conference in 2021 at the university of Dundee. They detail a study on the effect of inherent variability on soil parameters (such as initial void ratio, peak stress etc.... Read More about A DEM Study On The Effect Of Inherent Variability In Assemblies Of Spherical Particles.

Use of Solar Technology to Improve the Rural Community (2021)
Presentation / Conference Contribution
Muhammad Sukki, F. (2021, December). Use of Solar Technology to Improve the Rural Community. Presented at Webinar Series: Social Work and Development, Universiti Sultan Zainal Abidin, Terengganu, Malaysia

Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module (2021)
Journal Article
Freier Raine, D., Muhammad-Sukki, F., Ramirez-Iniguez, R., Ardila-Rey, J. A., Jafry, T., & Gamio, C. (2021). Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module. Sustainability, 13(24), Article 13916. https://doi.org/10.3390/su1324

This paper focuses on the embodied energy and cost assessments of a static concentrating photovoltaic (CPV) module in comparison to the flat photovoltaic (PV) module. The CPV module employs a specific concentrator design from the Genetically Optimise... Read More about Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module.

An efficient message passing algorithm for decentrally controlling complex systems (2021)
Journal Article
Herzallah, R., & Zhou, Y. (2023). An efficient message passing algorithm for decentrally controlling complex systems. International Journal of Control, 96(3), 719-730. https://doi.org/10.1080/00207179.2021.2011422

This paper proposes a decentralised stochastic control framework for a class of large-scale and complex dynamic networks. The proposed framework describes a decentralised probabilistic control and message passing architecture of mutually interacting... Read More about An efficient message passing algorithm for decentrally controlling complex systems.

The emergence of concentrator photovoltaics for perovskite solar cells (2021)
Journal Article
Sadhukhan, P., Roy, A., Sengupta, P., Das, S., Mallick, T. K., Nazeeruddin, M. K., & Sundaram, S. (2021). The emergence of concentrator photovoltaics for perovskite solar cells. Applied Physics Reviews, 8(4), Article 041324. https://doi.org/10.1063/5.0062

The emergence of high-efficiency photovoltaic research is undergoing intense study and is technologically desirable to meet sustainable energy and environmental demand. However, every single solar cell has a theoretical power conversion efficiency li... Read More about The emergence of concentrator photovoltaics for perovskite solar cells.

Recorded performance as digital content: Perspectives from Fringe 2020 (2021)
Book Chapter
Elsden, C., Yu, D., Piccio, B., Helgason, I., & Terras, M. (2021). Recorded performance as digital content: Perspectives from Fringe 2020. In L. Bissell, & L. Weir (Eds.), Performance in a Pandemic. London: Routledge. https://doi.org/10.4324/9781003165644

Within days of performance venues being forced to close their doors in 2020, the National Theatre began broadcasting high-quality recordings of the best of London’s West End. Few other companies could dream of having such rich recorded archives to dr... Read More about Recorded performance as digital content: Perspectives from Fringe 2020.

An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars (2021)
Journal Article
Wu, H., Liu, Q., Liu, X., Zhang, Y., & Yang, Z. (2022). An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars. World Wide Web, 25, 1923-1949. https://doi.org/10.1007/s11280-021-0098

Internet of Things (IoT) has been rapidly developed in recent years, being well applied in the fields of Environmental Surveillance, Smart Grid, Intelligent Transportation, and so on. As one of the typical earth-based meteorological observation metho... Read More about An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars.

Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses of Integrated Solar-Assisted Gasification Cycle for Producing Power and Steam from Heavy Refinery Fuels (2021)
Journal Article
Jadidi, E., Khoshgoftar Manesh, M. H., Delpisheh, M., & Onishi, V. C. (2021). Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses of Integrated Solar-Assisted Gasification Cycle for Producing Power and Steam from Heavy Refinery Fuels. Energi

Integrated solar-assisted gasification cycles (ISGC) have emerged as a more flexible and environmentally friendly solution for producing power, steam, and other high-valued by-products from low-cost opportunity fuels. In this light, this paper invest... Read More about Advanced Exergy, Exergoeconomic, and Exergoenvironmental Analyses of Integrated Solar-Assisted Gasification Cycle for Producing Power and Steam from Heavy Refinery Fuels.

Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning (2021)
Journal Article
Hart, E., & Le Goff, L. K. (2022). Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning. Philosophical Transactions B: Biological Sciences, 377(1843), https://doi.org/10.1098/rstb.2021.01

We survey and reflect on evolutionary approaches to the joint optimisation of the body and control of a robot, in scenarios where a the goal is to find a design that maximises performance on a specified task. The review is grounded in a general frame... Read More about Artificial evolution of robot bodies and control: on the interaction between evolution, individual and cultural learning.