All Outputs (2122)

Facilitating implementation of medication reviews in the community pharmacy setting: an application of the implementation research logic model. (2023)
Presentation / Conference Contribution
MICHEL, D.E., TONNA, A.P., DARTSCH, D.C. and WEIDMANN, A.E. 2023. Facilitating implementation of medication reviews in the community pharmacy setting: an application of the Implementation Research Logic Model. Presented at the 13th PCNE (Pharmaceutical Care Network Europe) working conference: pharmacies' new roles in pharmaceutical care: bridging research and practice, 8-11 February 2023, Hillerod, Denmark.

Previous research has identified both determinants and potential strategies to facilitate implementation of medication reviews (MR). A conceptual model which links determinants, strategies to support implementation and mechanisms of change to execute... Read More about Facilitating implementation of medication reviews in the community pharmacy setting: an application of the implementation research logic model..

Human rights and the Ukraine War. (2023)
Presentation / Conference Contribution
ARNELL, P. and LYONS, C. 2023. Human rights and the Ukraine War. Presented at the February 2023 In conversation with Paul Arnell and Carole Lyons webinar, 8 February 2023, [virtual event].

In this webinar, Paul Arnell and Carole Lyons (both affiliated with Robert Gordon University) discsuss the war in Ukraine from the Council of Europe perspective, focusing particularly on the human rights dimension. This webinar will focus on the Coun... Read More about Human rights and the Ukraine War..

Fabric variation and visualization using light dependent factor. (2023)
Presentation / Conference Contribution
NIHARIKA, G.L., BANO, S., SAI, K.C., ROHITH, K. and GUTTA, D. 2023. Fabric variation and visualization using light dependent factor. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 3rd International conference on data science, machine learning and applications (ICDSMLA 2021), 26 December 2021, Mandya, India. Lecture notes in electrical engineering, 947. Singapore: Springer [online], pages 293-302. Available from: https://doi.org/10.1007/978-981-19-5936-3_27

Typically, fabrics are recognised by human touch or feel. However, this study proposes an Internet of Things application that allows for the detection of fabric variation through light-based sensors.

DQR: a double Q learning multi agent routing protocol for wireless medical sensor network. (2023)
Presentation / Conference Contribution
HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2023. DQR: a double Q learning multi agent routing protocol for wireless medical sensor network. In Li, F., Liang, K., Lin, Z. and Katsikas, S.K. (eds.) Security and privacy in communication networks: proceedings of the 18th EAI (European Alliance for Innovation) Security and privacy in communication networks 2022 (EAI SecureComm 2022), 17-19 October 2022, Kansas City, USA. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), 462. Cham: Springer [online], pages 611-629. Available from: https://doi.org/10.1007/978-3-031-25538-0_32

Wireless Medical Sensor Network (WMSN) offers innovative solutions in the healthcare domain. It alleviates the patients' everyday life difficulties and supports the already overloaded medical staff with continuous monitoring tools. However, widesprea... Read More about DQR: a double Q learning multi agent routing protocol for wireless medical sensor network..

RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks. (2023)
Presentation / Conference Contribution
HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2023. RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks. In Proceedings of the 20th IEEE (Institute of Electrical and Electronics Engineers) Consumer communications and networking conference 2023 (CCNC 2023), 8-11 January 2023, Las Vegas, USA. Piscataway: IEEE [online], pages 781-789. Available from: https://doi.org/10.1109/CCNC51644.2023.10060225

Wireless medical sensor networks (WMSNs) offer innovative healthcare applications that improve patients' quality of life, provide timely monitoring tools for physicians, and support national healthcare systems. However, despite these benefits, widesp... Read More about RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks..

The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research (CFIR). [DUPHAT 2023 Poster] (2023)
Presentation / Conference Contribution
HASHAD, N., DEREK, S., PERUMAL, D., ABDULRAZZAQ, N., and TONNA, A. 2023. The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research. Poster presented at the 29th Dubai international pharmaceutical and technologies conference and exhibition 2023 (DUPHAT 2023), 10-12 January 2023, Dubai, UAE.

The disruption caused by Coronavirus disease 2019 (COVID-19) on antimicrobial stewardship programmes (ASP) has been acknowledged and recognised.1 This study uses a theoretical qualitative approach to understand the impact of COVID-19 on ASP implement... Read More about The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research (CFIR). [DUPHAT 2023 Poster].

Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. (2022)
Presentation / Conference Contribution
RICA, E., ALVAREZ, S., MORENO-GARCIA, C.F. and SERRATOSA, F. 2022. Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. In Krzyzak, A., Suen, C.Y., Torsello, A. and Nobile, N. (eds.) Structural, syntactic, and statistical pattern recognition: proceedings of the 2022 Joint International Association for Pattern Recognition (IAPR) international workshops on statistical techniques in pattern recognition, and structural and syntactic pattern recognition (S+SSPR 2022), 26-27 August 2022, Montréal, Canada. Lecture notes in computer science, 13813. Cham: Springer [online], pages 274-282. Available from: https://doi.org/10.1007/978-3-031-23028-8_28

Thousands of huge printed sheets depicting engineering drawings keep record of complex industrial structures from Oil & Gas facilities. Currently, there is a trend of digitising these drawings, having as final end the regeneration of the original com... Read More about Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search..

Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation. (2022)
Presentation / Conference Contribution
ZAVOIANU, A.-C., LACROIX, B. and MCCALL, J. 2022. Lightweight Interpolation-based surrogate modelling for multiobjective continuous optimisation. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 53-60. Available from: https://doi.org/10.1007/978-3-031-25312-6_6

We propose two surrogate-based strategies for increasing the convergence speed of multi-objective evolutionary algorithms (MOEAs) by stimulating the creation of high-quality individuals early in the run. Both offspring generation strategies are desig... Read More about Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation..

On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. (2022)
Presentation / Conference Contribution
HAN, K., CHRISTIE, L.A., ZAVOIANU, A.-C. and MCCALL, J. 2022. On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 104-111. Available from: https://doi.org/10.1007/978-3-031-25312-6_12

While self-driving technology is still being perfected, public transport authorities are increasingly interested in the ability to model and optimise the benefits of adding connected and autonomous vehicles (CAVs) to existing multi-modal transport sy... Read More about On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems..

Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. (2022)
Presentation / Conference Contribution
ADEGBOYE, M.A., KARNIK, A., FUNG, W.-K. and PRABHU, R. 2022. Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. In Proceedings of the 9th International conference on soft computing and machine intelligence 2022 (ISCMI 2022), 26-27 November 2022, Toronto, Candada. Piscataway: IEEE [online], pages 129-134. Available from: https://doi.org/10.1109/iscmi56532.2022.10068436

Pipelines are often subject to leakage due to ageing, corrosion, and weld defects, and it is difficult to avoid as the sources of leakages are diverse. Several studies have demonstrated the applicability of the machine learning model for the timely p... Read More about Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation..

Model predictive control of connected spacecraft formation. (2022)
Presentation / Conference Contribution
KANNAN, S., BHOWMICK, P. and ALAMDARI, S.A.S. 2022. Model predictive control of connected spacecraft formation. IFAC papers online [online], 55(22): proceedings of the 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022), 21-25 November 2022, Mumbai, India, pages 322-327. Available from: https://doi.org/10.1016/j.ifacol.2023.03.054

In this contribution the authors discuss the application of Model Predictive Control (MPC) to achieve a connected network formation of spacecrafts. A set of three spacecrafts are used to achieve in-plane formation which are initially in a connected n... Read More about Model predictive control of connected spacecraft formation..

Microporous alumina–silica composite membrane with very low N2 permeability but high CO2 selectivity for direct air capture. (2022)
Presentation / Conference Contribution
GIWA, A., SHEHU, H., RAMALAN, M., ORAKWE, I., ABUNOMAH, O., OGUNLUDE, P., WILLIAMWEST, T., IGBAGARA, W., OGOUN, E., HASHIM, I., AISUENI, F. and GOBINA, E. 2022. Microporous alumina–silica composite membrane with very low N2 permeability but high CO2 selectivity for direct air capture. In Khan, A.A., Ciddi, M.L. and Unal, M. (eds.) Proceedings of the 2022 International conference on studies in engineering, science and technology (ICSEST 2022), 10-13 November 2022, Antalya, Turkey. Ames, IA: International Society for Technology, Education and Science (ISTES) [online], pages 182-210. Available from: https://www.istes.org/seeder/books/files/54c86815762a9dac0440e35d04a1e05c.pdf

This research involves technical approaches to capture carbon dioxide (CO2) from ambient air, involving a filter with a transport mechanism described based on experimental results. A silica inorganic composite membrane was prepared by using a silicon... Read More about Microporous alumina–silica composite membrane with very low N2 permeability but high CO2 selectivity for direct air capture..

Piloting the learning by developing action model pedagogy in Finland HEIs. (2022)
Presentation / Conference Contribution
LINTILÄ, T. and ZARB, M. 2022. Piloting the learning by developing action model pedagogy in Finland HEIs. In Chova, L.G., Martínez, A.L. and Lees, J. (eds.) Proceedings of the 15th Annual international conference of education, research and innovation (ICERI2022), 7-9 November 2022, Seville, Spain. Valenca: IATED [online], pages 1856-1865. Available from: https://doi.org/10.21125/iceri.2022.0474

This article describes a study at Haaga-Helia University of Applied Sciences (Haaga-Helia) that aims to understand how suitable the Learning by Developing (LbD) action model is as a teaching and learning method for computing students. The research al... Read More about Piloting the learning by developing action model pedagogy in Finland HEIs..

The impact of COVID-19 on the CS student learning experience: how the pandemic has shaped the educational landscape. (2022)
Presentation / Conference Contribution
SIEGEL, A.A., ZARB, M., ANDERSON, E., CRANE, B., GAO, A., LATULIPE, C., LOVELLETTE, E., MCNEILL, F. and MEHARG, D. 2022. The impact of COVID-19 on the CS student learning experience: how the pandemic has shaped the educational landscape. In ITiCSE-WGR'22: proceedings of the 2022 Working group reports (WGR), co-located with the 27th Innovation and technology in computer science education annual conference (ITiCSE-WGR '22), 11-13 July 2022, Dublin, Ireland. New York: ACM [online], pages 165-190. Available from: https://doi.org/10.1145/3571785.3574126

Students have experienced incredible shifts in their learning environments, brought about by the response of universities to the ever-changing public health mandates driven by waves and stages of the coronavirus pandemic (COVID-19). Initially, these... Read More about The impact of COVID-19 on the CS student learning experience: how the pandemic has shaped the educational landscape..

Mobile platform for livestock monitoring and inspection. (2022)
Presentation / Conference Contribution
FABIYI, S.D., REN, J., HAN, Y., ZHU, Q. and BARCLAY, D. 2022. Mobile platform for livestock monitoring and inspection. In Proceedings of the 3rd International informatics and software engineering conference 2022 (IISEC 2022), 15-16 December 2022, Ankara, Turkey. Piscataway: IEEE [online], article 9998279. Available from: https://doi.org/10.1109/iisec56263.2022.9998297

Livestock keepers acquire and manage information (e.g. identification numbers, images, etc.) about livestock to identify and keep track of livestock using systems with capabilities to extract such information. Examples of such systems are Radio Frequ... Read More about Mobile platform for livestock monitoring and inspection..

Effects of titanium oxide and graphene as nano-fillers on the thermal conductivity of biobased phase change materials as latent thermal heat storage. (2022)
Presentation / Conference Contribution
HASBI, S., NORAZMAN, N. and SAHARUDIN, M.S. 2023. Effects of titanium oxide and graphene as nano-fillers on the thermal conductivity of biobased phase change materials as latent thermal heat storage. Materials today: proceedings [online], 75(1): proceedings of the 2022 Innovative manufacturing, mechatronics and material forum (iM3F 2022), 20 July 2022, Pekan Malaysia, pages 181-187. Available from: https://doi.org/10.1016/j.matpr.2022.11.426

Biobased phase change materials (BPCMs) have attracted much attention as they offer proper melting temperature, high heat capacity, non-corrosive, low cost, and are abundantly available. However, the BPCMs have a low thermal conductivity which limits... Read More about Effects of titanium oxide and graphene as nano-fillers on the thermal conductivity of biobased phase change materials as latent thermal heat storage..

Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares. (2022)
Presentation / Conference Contribution
LIANG, Y., WANG, S., FAN, Y., YANG, X., XIE, Y. and FERNANDEZ, C. 2022. Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares. In Proceedings of the 4th Smart power and internet energy systems international conference 2022 (SPIES 2022): towards a net-zero carbon future, 9-12 December 2022, Beijing, China. Piscataway: IEEE [online], pages 1923-1927. Available from https://doi.org/10.1109/spies55999.2022.10082478

This work aims to improve the accuracy of state of charge estimation for lithium-ion battery, as well as to accurately estimate state of health. This study presents a piecewise forgetting factor recursive least squares method based on integral separa... Read More about Joint state of charge and state of health estimation of lithium-ion battery using improved adaptive dual extended Kalman filter based on piecewise forgetting factor recursive least squares..

Resource efficient federated deep learning for IoT security monitoring. (2022)
Presentation / Conference Contribution
ZAKARIYYA, I., KALUTARAGE, H. and AL-KADRI, M.O. 2022. Resource efficient federated deep learning for IoT security monitoring. In Li, W., Furnell, S. and Meng, W. (eds.) Attacks and defenses for the Internet-of-Things: revised selected papers from the 5th International workshop on Attacks and defenses for Internet-of-Things 2022 (ADIoT 2022), in conjunction with 27th European symposium on research in computer security 2022 (ESORICS 2022) 29-30 Septempber 2022, Copenhagen, Denmark. Lecture notes in computer science (LNCS), 13745. Cham: Springer [online], pages 122-142. Available from: https://doi.org/10.1007/978-3-031-21311-3_6

Federated Learning (FL) uses a distributed Machine Learning (ML) concept to build a global model using multiple local models trained on distributed edge devices. A disadvantage of the FL paradigm is the requirement of many communication rounds before... Read More about Resource efficient federated deep learning for IoT security monitoring..

Dense metallic membranes for high-density hydrogen production from different feedstocks for PEM fuel cells power generation. (2022)
Presentation / Conference Contribution
SHEHU, H., ORAKWE, I., ABUNOMAH, O., OGUNLUDE, P., RAMALAN, M., WILLIAMWEST, T., IGBAGARA, W., OGOUN, E., HASHIM, I., AISUENI, F. and GOBINA, E. 2022. Dense metallic membranes for high-density hydrogen production from different feedstocks for PEM fuel cells power generation. In Dincer, I., Ratlamwala, T.A.H. and Kamal, K. (eds.) Proceedings of the 13th International conference on hydrogen production (ICH2P 2022): hydrogen for a green future, 11-14 December 2022, [virtual event]. Hosted on ICH2P [online], pages 203-205. Available from: http://www.ich2p.org/wp-content/uploads/2023/01/Conference-Proceedings.pdf

The International Electrotechnical Commission (IEC), through Technical Committee 105 Fuel Cell Technologies, prepares international standards regarding fuel cell technologies for all fuel types and various associated applications, such as: stationary... Read More about Dense metallic membranes for high-density hydrogen production from different feedstocks for PEM fuel cells power generation..

Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis. (2022)
Presentation / Conference Contribution
HOSSAIN, M., FAISAL, N., PRATHURU, A., KURUSHINA, V., CAI, Q., HORRI, B. and SOMAN, A. 2022. Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis. Presented at the 4th International conference on energy and power 2022 (ICEP2022), 11-13 December 2022, Dhaka, Bangledesh: [virtual conference].

The UK government in their 2021 Hydrogen Strategy recognises that the low carbon hydrogen plays a critical role in achieving transition to net zero and sets a target of 5GW of low carbon hydrogen production capacity by 2030 for use across the economy... Read More about Scalable metamaterial thermally sprayed catalyst coatings for nuclear reactor high temperature solid oxide steam electrolysis..