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All Outputs (1012)

SecHealth: enhancing EHR security in digital health transformation. (2023)
Conference Proceeding
YENG, P., FAUZI, M.A., YANG, B., DIEKUU, J.-B., NIMBE, P., HOLIK, F., KHATIWADA, P., FAHMI, A. and SUN, L. 2023. SecHealth: enhancing EHR security in digital health transformation. In Widasari, E.R. and Adikara, P.P. (eds.) SIET '23: proceedings of the 8th International conference on sustainable information engineering and technology (SIET '23), 24-25 October 2023, Bali, Indonesia. New York: ACM [online], pages 538-544. Available from: https://doi.org/10.1145/3626641.3627214

In the contemporary wave of digital transformation, the implementation of electronic health records (EHRs) has become a pivotal undertaking for numerous nations. However, amidst this technological advancement, a critical facet deserving heightened at... Read More about SecHealth: enhancing EHR security in digital health transformation..

Cost optimisation in offshore wind through procurement data analytics. (2023)
Conference Proceeding
SHITTU, Q. and EZENKWU, C.P. [2024]. Cost optimisation in offshore wind through procurement data analytics. In Proceedings of the 12th Computing conference (Computing 2024), 11-12 July 2024, London, UK. Lecture notes in networks and systems, [volume TBC]. Cham: Springer [online], (forthcoming).

Governments have implemented a variety of national and international efforts to reduce carbon emissions (so as to prevent the damaging effects of climate change on the environment and the global economy) through the execution of several policies, inc... Read More about Cost optimisation in offshore wind through procurement data analytics..

What is the potential value of tokens and token engineering for the architecture, engineering, and construction industry? A positional paper. (2023)
Conference Proceeding
KIFOKERIS, D., DOUNAS, T., TEZEL, A. and MOON, S. 2023. What is the potential value of tokens and token engineering for the architecture, engineering, and construction industry? A positional paper. In Proceedings of the 2023 European Conference on Computing in Construction (EC3 2023) co-located with the 40th International CIB (International Council for Research and Innovation in Building and Construction) conference (CIB W78 2023), 10-12 July 2023, Heraklion, Greece. Kanata, ON: CIB [online], paper 304. Available from: https://doi.org/10.35490/EC3.2023.304

What is the value of tokens for blockchain applications in Architecture, Engineering, and Construction (AEC)? How can token engineering be contextualized in AEC? This positional paper instigates the tackling of these largely unexplored questions. Fol... Read More about What is the potential value of tokens and token engineering for the architecture, engineering, and construction industry? A positional paper..

Design dimensions for blockchain oracles in the AEC industry. (2023)
Conference Proceeding
DOUNAS, T., HUNHEVICZ, J. and BYERS, B.S. 2023. Design dimensions for blockchain oracles in the AEC industry. In Proceedings of the 2023 European Conference on Computing in Construction (EC3 2023) co-located with the 40th International CIB (International Council for Research and Innovation in Building and Construction) conference (CIB W78 2023), 10-12 July 2023, Heraklion, Greece. Kanata, ON: CIB [online], paper 297. Available from: https://doi.org/10.35490/EC3.2023.297

The literature on blockchain for AEC often has limited discussion on the design of the blockchain Oracle, the entity that ensures trusted information input from the real world. This work aims to illuminate an often unaddressed topic of how to best de... Read More about Design dimensions for blockchain oracles in the AEC industry..

Numerical study on the nucleation law of water vapor condensation in laval nozzle. (2023)
Conference Proceeding
NI, W., SUN, R., LIU, G., MA, F., FAN, C., XIE, C. and KANG, Y. 2023. Numerical study of the nucleation law of water vapor condensation in laval nozzle. In Proceedings of the 3rd International conference on new energy and power engineering 2023 (ICNEPE 2023), 24-26 November 2023, Huzhou, China. Piscataway: IEEE [online], pages 264-268. Available from: https://doi.org/10.1109/ICNEPE60694.2023.10429753

In order to explore the formation of condensed droplets and the process of agglomeration into droplets during the gas-liquid separation in the Laval nozzle, the wet gas is taken as the research object, and the numerical simulation model and control e... Read More about Numerical study on the nucleation law of water vapor condensation in laval nozzle..

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Conference Proceeding
STEWART, C., FOUGH, N., ERDOGAN, N. and PRABHU, R. 2023. Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, Valletta, Malta. Piscataway: IEEE [online], pages 110-115. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317266

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Un... Read More about Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things..

Explaining a staff rostering problem by mining trajectory variance structures. (2023)
Conference Proceeding
FYVIE, M., MCCALL, J.A.W., CHRISTIE, L.A., ZĂVOIANU, A.-C., BROWNLEE, A.E.I. and AINSLIE, R. 2023. Explaining a staff rostering problem by mining trajectory variance structures. In Bramer, M. and Stahl, F. (eds.) Artificial intelligence XL: proceedings of the 43rd SGAI international conference on artificial intelligence (AI-2023), 12-14 December 2023, Cambridge, UK. Lecture notes in computer science, 14381. Cham: Springer [online], pages 275-290. Available from: https://doi.org/10.1007/978-3-031-47994-6_27

The use of Artificial Intelligence-driven solutions in domains involving end-user interaction and cooperation has been continually growing. This has also lead to an increasing need to communicate crucial information to end-users about algorithm behav... Read More about Explaining a staff rostering problem by mining trajectory variance structures..

Clinical dialogue transcription error correction with self-supervision. (2023)
Conference Proceeding
NANAYAKKARA, G., WIRATUNGA, N., CORSAR, D., MARTIN, K. and WIJEKOON, A. 2023. Clinical dialogue transcription error correction with self-supervision. In Bramer, M. and Stahl, F. (eds.) Artificial intelligence XL: proceedings of the 43rd SGAI international conference on artificial intelligence (AI-2023), 12-14 December 2023, Cambridge, UK. Lecture notes in computer science, 14381. Cham: Springer [online], pages 33-46. Available from: https://doi.org/10.1007/978-3-031-47994-6_3

A clinical dialogue is a conversation between a clinician and a patient to share medical information, which is critical in clinical decision-making. The reliance on manual note-taking is highly inefficient and leads to transcription errors when digit... Read More about Clinical dialogue transcription error correction with self-supervision..

Comparison of simulated annealing and evolution strategies for optimising cyclical rosters with uneven demand and flexible trainee placement. (2023)
Conference Proceeding
COLLINS, J., ZĂVOIANU, A.-C. and MCCALL, J.A.W. 2023. Comparison of simulated annealing and evolution strategies for optimising cyclical rosters with uneven demand and flexible trainee placement. In Bramer, M. and Stahl, F. (eds.) Artificial intelligence XL: proceedings of the 43rd SGAI (Specialist Group on Artificial Intelligence) Artificial intelligence international conference 2023 (AI-2023), 12-14 December 2023, Cambridge, UK. Lecture notes in computer science, 14381. Cham: Springer [online], pages 451-464. Available from: https://doi.org/10.1007/978-3-031-47994-6_39

Rosters are often used for real-world staff scheduling requirements. Multiple design factors such as demand variability, shift type placement, annual leave requirements, staff well-being and the placement of trainees need to be considered when constr... Read More about Comparison of simulated annealing and evolution strategies for optimising cyclical rosters with uneven demand and flexible trainee placement..

Object-aware multi-criteria decision-making approach using the heuristic data-driven theory for intelligent transportation systems. (2023)
Conference Proceeding
MEKALA, M.S., EYAD, E. and SRIVASTAVA, G. 2023. Object-aware multi-criteria decision-making approach using the heuristic data-driven theory for intelligent transportation systems. In Proceedings of the 10th IEEE (Institute of Electrical and Electronics Engineers) Data science and advanced analytics international conference 2023 (DSAA 2023), 9-13 October 2023, Thessaloniki, Greece. Piscataway: IEEE [online], 10302554. Available from: https://doi.org/10.1109/DSAA60987.2023.10302554

Sharing up-to-date information about the surrounding measured by On-Board Units (OBUs) and Roadside Units (RSUs) is crucial in accomplishing traffic efficiency and pedestrians safety towards Intelligent Transportation Systems (ITS). Transferring meas... Read More about Object-aware multi-criteria decision-making approach using the heuristic data-driven theory for intelligent transportation systems..

Developing an adaptive protection scheme towards promoting the deployment of distributed renewable sources in modern distribution networks: operational simulation phase. (2023)
Conference Proceeding
ATTEYA, A.I., EL-ZONKOLY, A., ASHOUR, H.A. and ALI, D. 2023. Developing an adaptive protection scheme towards promoting the deployment of distributed renewable sources in modern distribution networks: operational simulation phase. In Proceedings of the 58th International universities power engineering conference (UPEC 2023), 30 August - 1 September 2023, Dublin, Ireland. Piscataway: IEEE [online], article number 10294344. Available from: https://doi.org/10.1109/UPEC57427.2023.10294344

The large-scale integration of renewables into the electricity grid as distributed generation sources for providing clean energy supply together with the recent introduction of the smart grid concept, have accelerated the need to modernize the existi... Read More about Developing an adaptive protection scheme towards promoting the deployment of distributed renewable sources in modern distribution networks: operational simulation phase..

Siamese residual neural network for musical shape evaluation in piano performance assessment. (2023)
Conference Proceeding
LI, X., WEISS, S., YAN, Y., LI, Y., REN, J., SORAGHAN, J. and GONG, M. 2023. Siamese residual neural network for musical shape evaluation in piano performance assessment. In Proceedings of the 31st European signal processing conference 2023 (EUSIPCO 2023), 4-8 September 2023, Helsinki, Finland. Piscataway: IEEE [online], pages 216-220. Available from: https://doi.org/10.23919/EUSIPCO58844.2023.10289901

Understanding and identifying musical shape plays an important role in music education and performance assessment. To simplify the otherwise time- and cost-intensive musical shape evaluation, in this paper we explore how artificial intelligence (AI)... Read More about Siamese residual neural network for musical shape evaluation in piano performance assessment..

A green AI model selection strategy for computer-aided mpox detection. (2023)
Conference Proceeding
EZENKWU, C.P., STEPHEN, B.U.-A., AFFIAH, I. and DANIEL, B. 2023. A green AI model selection strategy for computer-aided mpox detection. In Proceedings of the 16th IEEE Africon conference (IEEE AFRICON 2023): advancing technology in Africa towards presence on the global stage, 20-22 September 2023, Nairobi, Kenya. Piscataway: IEEE [online], document number 10293707. Available from: https://doi.org/10.1109/AFRICON55910.2023.10293707

With the recent global surge in mpox (formerly monkeypox) cases, researchers have proposed deep learning technologies for early detection of the disease from skin lesion images. However, many of these researchers follow the current Red AI trend of se... Read More about A green AI model selection strategy for computer-aided mpox detection..

Vision based relative position estimation in surgical robotics. (2023)
Conference Proceeding
MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Vision based relative position estimation in surgical robotics. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275973. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275973

Teleoperation-based Robotic-Assisted Minimally In-vasive Surgery (RAMIS) has gained immense popularity in medical field. However, limited physical interaction between the surgeon and patient poses a significant challenge. In RAMIS, the surgeon operat... Read More about Vision based relative position estimation in surgical robotics..

Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication. (2023)
Conference Proceeding
STEWART, C., FOUGH, N. and PRABHU, R. 2023. Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication. In Bouma, H., Dijk, J., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Artificial intelligence for security and defence applications: proceedings of the 2023 SPIE joint Remote sensing and Security + defence conference (SPIE Sensor + Imaging 2023), 3-7 September 2023, Amsterdam, Netherlands. Proceedings of SPIE, 12742. Bellingham, WA: SPIE [online], paper 127420A. Available from: https://doi.org/10.1117/12.2685278

Underwater surveillance is inherently tricky to achieve. Even in the clearest waters, the visibility tends to be in the range of tens of meters. Normally, tethered Remotely Operated Vehicles (ROVs) with underwater cameras are used for underwater imag... Read More about Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication..

Supporting undergraduate engineering student mental health. (2023)
Conference Proceeding
WILSON, S., JENSEN, K. and TAIT, J.-A. 2023. Supporting undergraduate engineering student mental health. In Proceedings of the 51st Annual conference of the European Society for Engineering Education (SEFI 2023): engineering education for sustainability: reflecting on the role of engineering and technology education for a sustainable world, 11-14 September 2023, Dublin, Ireland. Dublin: TU Dublin [online], pages 3284-3291. Available from: https://doi.org/10.21427/MATP-QP66

The culture within engineering education can lead to the normalization of stress, which has the potential to impact student mental health. In particular, there have been reports on the perceived stress of the engineering education environment, percei... Read More about Supporting undergraduate engineering student mental health..

Influence of the training set composition on the estimation performance of linear ECG-lead transformations. (2023)
Conference Proceeding
GULDENRING, D., FINLAY, D.D., BOND, R.R., KENNEDY, A., DOGGART, P., JANJUA, G. and MCLAUGHLIN, J. 2023. Influence of the training set composition on the estimation performance of linear ECG-lead transformations. In Proceedings of the 50th Computing in cardiology 2023 (CinC 2023), 1-4 October 2023, Atlanta, GA, USA. Piscataway: IEEE/CinC [online], 50, article number 263. Available from: https://doi.org/10.22489/CinC.2023.263

Linear ECG-lead transformations (LELTs) are used to estimate unrecorded target leads by applying a number of recorded basis leads to a LELT matrix. Such LELT matrices are commonly developed using training datasets that are composed of ECGs that belon... Read More about Influence of the training set composition on the estimation performance of linear ECG-lead transformations..

Detecting contradictory COVID-19 drug efficacy claims from biomedical literature. (2023)
Conference Proceeding
SOSA, D.N., SURESH, M., POTTS, C. and ALTMAN, R.B. 2023. Detecting contradictory COVID-19 drug efficacy claims from biomedical literature. In Rogers, A., Boyd-Graber, J. and Okazaki, N. (eds.) Proceedings of the 61st Association for Computational Linguistics annual meeting 2023 (ACL 2023), 9-14 July 2023, Toronto, Candada. Stroudsburg, PA: ACL [online], volume 2: short papers, pages 694-713. Available from: https://doi.org/10.18653/v1/2023.acl-short.61

The COVID-19 pandemic created a deluge of questionable and contradictory scientific claims about drug efficacy – an "infodemic" with lasting consequences for science and society. In this work, we argue that NLP models can help domain experts distill... Read More about Detecting contradictory COVID-19 drug efficacy claims from biomedical literature..

Towards feasible counterfactual explanations: a taxonomy guided template-based NLG method. (2023)
Conference Proceeding
SALIMI, P., WIRATUNGA, N., CORSAR, D. and WIJEKOON, A. 2023. Towards feasible counterfactual explanations: a taxonomy guided template-based NLG method. In Gal, K., Nowé, A., Nalepa, G.J., Fairstein, R. and Rădulescu, R. (eds.) ECAI 2023: proceedings of the 26th European conference on artificial intelligence (ECAI 2023), 30 September - 4 October 2023, Kraków, Poland. Frontiers in artificial intelligence and applications, 372. Amsterdam: IOS Press [online], pages 2057-2064. Available from: https://doi.org/10.3233/FAIA230499

Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another. However, many cf-XAI methods neglect the feasibility of those changes. In this paper, we introduce a novel... Read More about Towards feasible counterfactual explanations: a taxonomy guided template-based NLG method..

A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. (2023)
Conference Proceeding
HAI, T., WANG, D., SEETHARAMAN, T., AMELESH, M, SREEJITH, P.M., SHARMA, V., IBEKE, E. and LIU, H. 2023. A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of the 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], pages 105-118. Available from: https://doi.org/10.1007/978-3-031-37164-6_9

The very existence of smart cities forms the stepping stone in the evolution of many technological advancements in the future era. While smart cities have already grown in their way, the tremendous amount of data generated from them paves the way for... Read More about A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications..