All Outputs (1013)

This changes to that: combining causal and non-causal explanations to generate disease progression in capsule endoscopy. (2023)
Conference Proceeding
VATS, A., MOHAMMED, A., PEDERSEN, M. and WIRATUNGA, N. 2023. This changes to that: combining causal and non-causal explanations to generate disease progression in capsule endoscopy. In Proceedings of the 2023 IEEE international conference on acoustics, speech and signal processing (ICASSP 2023), 4-10 June 2023, Rhodes Island, Greece. Piscataway: IEEE [online], paper number 1771. Available from: https://doi.org/10.1109/ICASSP49357.2023.10096931

The need to understand the decision-making mechanisms of deep learning networks has led to a growing effort in exploring both modal-dependent and model-agnostic research methods. Although both of these ideas provide transparency for automated decisio... Read More about This changes to that: combining causal and non-causal explanations to generate disease progression in capsule endoscopy..

Developing collaborative online project-based learning model to enhance learning in engineering. (2023)
Conference Proceeding
AMISH, M. and JIHAN, S. 2023. Developing collaborative online project-based learning model to enhance learning in engineering. In Proceedings of the 4th Global conference on education and teaching 2023 (GlobalET 2023), 21-23 April 2023, Athens, Greece. Vilnius: Diamond scientific publishing [online], pages 59-75. Available from: https://doi.org/10.33422/4th.globalet.2023.04.105

It has been widely reported that knowledge and skills gained in formal Higher Education Institute courses are different from those required at work. Students lack soft skills, according to feedback from employers. Many universities have become proact... Read More about Developing collaborative online project-based learning model to enhance learning in engineering..

Models of work-based learning with examples of practice in petroleum engineering: a university-employer partnership. (2023)
Conference Proceeding
AMISH, M., JIHAN, S. and WYATT, A. 2023. Models of work-based learning with examples of practice in petroleum engineering: a university-employer partnership. In Proceedings of the 4th Global conference on education and teaching (GLOBALET 2023), 21-23 April 2023, Athens, Greece. Vilnius: Mokslines Leidybos Deimantas (Diamond Scientific Publishing) [online], pages 33-49. Available from: https://doi.org/10.33422/4th.globalet.2023.04.103

Work-based learning (WBL) is a collaborative tool employed by educational institutions and industry to educate and develop their students or workforce in all three strands of learning: for, at, and through work. This paper presents petroleum engineer... Read More about Models of work-based learning with examples of practice in petroleum engineering: a university-employer partnership..

The importance of women participation in ensuring justice in energy transition in ASEAN and G7. (2023)
Conference Proceeding
SUMARNO, T., FITRIYANTI, V., KHUSNA, V. and YUSGIANTORO, I. 2023. The importance of women participation in ensuring justice in energy transition in ASEAN and G7. In Moffett, S. (ed.) Proceedings of the 6th International conference on gender research (ICGR 2023), 20-21 April 2023, Ulster, UK. International conference on gender research: conference proceedings, 6(1). Reading: Academic Conferences International [online], pages 232-240. Available from: https://doi.org/10.34190/icgr.6.1.1040

Many countries have increased their climate ambitions, including net-zero by 2060. Gender equality is essential for just energy transition (JET). United Nations Sustainable Development Goals (SDG) 5 and 7 promote both gender equality and access to su... Read More about The importance of women participation in ensuring justice in energy transition in ASEAN and G7..

iSee: intelligent sharing of explanation experience of users for users. (2023)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., PALIHAWADANA, C., NKISI-ORJI, I., CORSAR, D. and MARTIN, K. 2023. iSee: intelligent sharing of explanation experience of users for users. In IUI '23 companion: companion proceedings of the 28th Intelligent user interfaces international conference 2023 (IUI 2023), 27-31 March 2023, Sydney, Australia. New York: ACM [online], pages 79-82. Available from: https://doi.org/10.1145/3581754.3584137

The right to obtain an explanation of the decision reached by an Artificial Intelligence (AI) model is now an EU regulation. Different stakeholders of an AI system (e.g. managers, developers, auditors, etc.) may have different background knowledge, c... Read More about iSee: intelligent sharing of explanation experience of users for users..

Empowering inquiry-based learning in short courses for professional students. (2023)
Conference Proceeding
MARTIN, K., ZARB, M., MCDERMOTT, R. and YOUNG, T. 2023. Empowering inquiry-based learning in short courses for professional students. In Chova, L.G., Martínez, C.G. and Lees, J. (eds.) Proceedings of the 17th International technology, education and development conference 2023 (INTED 2023), 6-8 March 2023, Valencia, Spain. Valencia: IATED [online], pages 5404-5409. Available from: https://doi.org/10.21125/inted.2023.1407

This paper presents the pedagogic underpinning for the development of an online postgraduate short course educating participants on multi-modal data science, specifically within the context of the digital health industry. The growing digital health s... Read More about Empowering inquiry-based learning in short courses for professional students..

DQR: a double Q learning multi agent routing protocol for wireless medical sensor network. (2023)
Conference Proceeding
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)
Conference Proceeding
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..

Lightweight interpolation-based surrogate modelling for multi-objective continuous optimisation. (2022)
Conference Proceeding
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..

Pipeline leakage detection and characterisation with adaptive surrogate modelling using particle swarm optimisation. (2022)
Conference Proceeding
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..

Zero-error digitisation and contextualisation of piping and instrumentation diagrams using node classification and sub-graph search. (2022)
Conference Proceeding
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..

On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. (2022)
Conference Proceeding
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..

Piloting the learning by developing action model pedagogy in Finland HEIs. (2022)
Conference Proceeding
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)
Conference Proceeding
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)
Conference Proceeding
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..

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)
Conference Proceeding
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..

GEMv2: multilingual NLG benchmarking in a single line of code. (2022)
Conference Proceeding
GEHRMANN, S., BHATTACHARJEE, A., MAHENDIRAN, A., WANG, A., PAPANGELIS, A., MADAAN, A., MCMILLAN-MAJOR, A., SHVETS, A., UPADHYAY, A. and BOHNET, B. 2022. GEMv2: multilingual NLG benchmarking in a single line of code. In Proceedings of the 2022 Conference on empirical methods in natural language processing: system demonstrations, 7-11 December 2022, Abu Dhabi, UAE. Stroudsburg: Association for Computational Linguistics [online], pages 266-281. Available from: https://aclanthology.org/2022.emnlp-demos.27/

Evaluations in machine learning rarely use the latest metrics, datasets, or human evaluation in favor of remaining compatible with prior work. The compatibility, often facilitated through leaderboards, thus leads to outdated but standardized evaluati... Read More about GEMv2: multilingual NLG benchmarking in a single line of code..

Resource efficient federated deep learning for IoT security monitoring. (2022)
Conference Proceeding
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..

Knudsen number sensitivity to pressure drop in a nanoscale membrane. (2022)
Conference Proceeding
RAMALAN, M.M., PRABHU, R., HASHM, I., OGUNLUDE, P., AISUENI, F., ABUNOMAH, O. and GOBINA, E. 2022. Knudsen number sensitivity to pressure drop in a nanoscale membrane. In Proceedings of the 2nd International congress on scientific advances 2022 (ICONSAD'22), 21-24 December 2022, [virtual conference]. Turkey: ICONSAD [online], pages 276-281. Available from: https://en.iconsad.org/_files/ugd/1dd905_c45aeddf416d497e93113f00f465739b.pdf

According to the kinetic theory of gases, gas molecules are in constant random motion and frequently collide with one another and with the walls of their container. They continuously experience changes in velocity and direction. Between collisions, m... Read More about Knudsen number sensitivity to pressure drop in a nanoscale membrane..

Characteristics of gas transport through inorganic ceramic membranes as porous media using air and nitrogen. (2022)
Conference Proceeding
IGBAGARA, W., HASHM, I.A., AISUENI, F., OGUNLUDE, P., RAMALAN, M., OGOUN, E., ASIM, T. and GOBINA, E. 2022. Characteristics of gas transport through inorganic ceramic membranes as porous media using air and nitrogen. In Proceedings of the 2nd International congress on scientific advances 2022 (ICONSAD'22), 21-24 December 2022, [virtual conference]. Turkey: ICONSAD [online], pages 417-425. Available from: https://en.iconsad.org/_files/ugd/1dd905_c45aeddf416d497e93113f00f465739b.pdf

Permeation experiments have been conducted using porous ceramic membranes having different pore sizes of 200nm and 6000nm respectively. Air and N2 gases were used as the characterizing fluids and experiments were carried out at temperatures of 20 C,... Read More about Characteristics of gas transport through inorganic ceramic membranes as porous media using air and nitrogen..