All Outputs (625)

A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things (2021)
Book Chapter
Farhad, A., Woolley, S. I., & Andras, P. (2021). A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, …O. Sorina Chirila (Eds.), Public Health

This paper presents a scoping review of federated learning for the Internet of Medical Things (IoMT) and demonstrates the limited amount of research work in an area which has potential to improve patient care. Federated Learning and IoMT – as standal... Read More about A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things.

The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents (2021)
Presentation / Conference Contribution
Strathearn, C., & Gkatzia, D. (2021). The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents. In Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021)

This paper describes the Task2Dial dataset, a novel dataset of document-grounded task-based dialogues in the food preparation domain , where an Information Giver (IG) provides instructions to an Information Follower (IF) so that the latter can succes... Read More about The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents.

Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation (2021)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (2021). Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation. In 2021 CIE International Conference on Radar (Radar). https://doi.org/10.1109

In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system and semantic rules to provide semantic reasoning for tracking erroneous data... Read More about Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.

Seismic behavior of non seismically designed eccentric reinforced concrete beam column joints (2021)
Journal Article
Liu, Y., Wong, S. H., Zhang, H., Kuang, J. S., Lee, P., & Kwong, W. (2021). Seismic behavior of non seismically designed eccentric reinforced concrete beam column joints. Earthquakes and Structures, An International Journal, 21(6), 613-625. https://doi.or

Non seismically designed eccentric reinforced concrete beam column joints were extensively used in existing reinforced concrete frame buildings, which were found to be vulnerable to seismic action in many incidences. To provide a fundamental understa... Read More about Seismic behavior of non seismically designed eccentric reinforced concrete beam column joints.

A Study of Biogas Upgrading to Bio-Methane with Carbon dioxide Capture using Ceramic Membranes (2021)
Presentation / Conference Contribution
Ogunlude, P., Abunumah, O., Muhammad-Sukki, F., & Gobina, E. (2021, August). A Study of Biogas Upgrading to Bio-Methane with Carbon dioxide Capture using Ceramic Membranes. Presented at 8th International Conference & Exhibition on Advanced & Nano Material

Greenhouse gas emissions (GHGs) and their effects have been a matter of global concern over the past decade. With growing energy demands to support developing economies, there has been a challenge of harnessing and utilizing sustainable forms of ener... Read More about A Study of Biogas Upgrading to Bio-Methane with Carbon dioxide Capture using Ceramic Membranes.

Size matters in a Circular Economy: a practical framework applying Futures Literacy to support Small and Medium sized Enterprises (SMEs) (2021)
Presentation / Conference Contribution
Weigend, R., Viero, G., Schindler, T., Guadarrama, G., & Pomponi, F. (2021, July). Size matters in a Circular Economy: a practical framework applying Futures Literacy to support Small and Medium sized Enterprises (SMEs). Presented at ISDRS 2021: The 27nd

The Circular Economy (CE) is conceived by many as paramount to decouple economic growth from environmental impacts and resource depletion. Implementing this economic paradigm in the private sector is challenging, as it requires substantial changes at... Read More about Size matters in a Circular Economy: a practical framework applying Futures Literacy to support Small and Medium sized Enterprises (SMEs).

Underreporting of errors in NLG output, and what to do about it (2021)
Presentation / Conference Contribution
van Miltenburg, E., Clinciu, M., Dušek, O., Gkatzia, D., Inglis, S., Leppänen, L., …Wen, L. (2021). Underreporting of errors in NLG output, and what to do about it. In Proceedings of the 14th International Conference on Natural Language Generation (1

We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indicator of where systems should still be improved. If authors only report overa... Read More about Underreporting of errors in NLG output, and what to do about it.

Nondestructive Inspection (NDI) (2021)
Book Chapter
Mook, G., & Shyha, I. (2021). Nondestructive Inspection (NDI). In K. Grote, & H. Hefazi (Eds.), Springer Handbook of Mechanical Engineering (215-232). Cham: Springer. https://doi.org/10.1007/978-3-030-47035-7_7

This chapter discusses various nondestructive inspection () methods. Nondestructive inspection includes all methods to characterize a material without indenting, extracting samples, reducing its service capabilities or destroying it. The following ch... Read More about Nondestructive Inspection (NDI).

Using Semantic Technology to Model Persona for Adaptable Agents (2021)
Presentation / Conference Contribution
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021, June). Using Semantic Technology to Model Persona for Adaptable Agents. Presented at ECMS 2021

In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitable for the representation of travellers and their goal-oriented behaviour. A... Read More about Using Semantic Technology to Model Persona for Adaptable Agents.

The Tree and The Room: Co-Designing DIY WiFi Networks with Emergent Local Metaphors (2021)
Presentation / Conference Contribution
Smyth, M., Helgason, I., Lapidge, L., & Hausel, K. (2021). The Tree and The Room: Co-Designing DIY WiFi Networks with Emergent Local Metaphors. In Design Culture(s) | Cumulus Conference Proceedings Roma 2021, Volume #2 (3823-3837)

The use of metaphor for communicating conceptual models of interactive systems has a well-documented history in Interaction Design practice. Although metaphors can primarily be understood as linguistic devices, designers incorporate t... Read More about The Tree and The Room: Co-Designing DIY WiFi Networks with Emergent Local Metaphors.

The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence (2021)
Presentation / Conference Contribution
Strathearn, C., & Ma, M. (2021). The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence. In Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and

Alan Turing developed the Turing Test as a method to determine whether artificial intelligence (AI) can deceive human interrogators into believing it is sentient by competently answering questions at a confidence rate of 30%+. However, the Turing Tes... Read More about The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence.

Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research (2021)
Journal Article
Demeke, W., & Ryan, B. (2021). Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research. University of Dar es Salaam Library Journal, 16(2), 105-118

In this paper under-researched methodological issues in information systems research of multilingual interview data collection and translation using translators explored. Observations field notes were collected during the study of the role of ICT for... Read More about Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research.

Employing CdS nanoparticles as an adsorbent for the removal of different dosages of hexavalent Cr (VI) from aqueous solution (2021)
Journal Article
Velusamy, S., Roy, A., Sundaram, S., & Mallick, T. K. (2022). Employing CdS nanoparticles as an adsorbent for the removal of different dosages of hexavalent Cr (VI) from aqueous solution. Materials Letters, 311, Article 131602. https://doi.org/10.1016/j.m

The discharge of chromium effluent from various industries becomes a severe threat to the environment, creating a risk to human health and environmental aspects. In this study, Cr (VI) removal from aqueous solution by adsorption was investigated usin... Read More about Employing CdS nanoparticles as an adsorbent for the removal of different dosages of hexavalent Cr (VI) from aqueous solution.

Wideband and Low-Profile Phased Array Smartphone Antenna Supporting 28-38 GHz (2021)
Presentation / Conference Contribution
Parchin, N. O., Ullah, A., Amar, A. S. I., Abdul-Al, M., Santos, H. M. D., See, C. H., Fun Hu, Y., & Abd-Alhameed, R. A. (2021, November). Wideband and Low-Profile Phased Array Smartphone Antenna Supporting 28-38 GHz. Presented at 2021 29th Telecommunicat

This paper introduces a low-profile 5G phased array with a broad operation band for smartphone applications. The design procedure is simple and easy to accomplish. It is composed of eight endfire dipoles with a 1×8 linear array arrangement at the top... Read More about Wideband and Low-Profile Phased Array Smartphone Antenna Supporting 28-38 GHz.

Dual-Band MIMO Antenna Array for Sub 6 GHz 5G Smartphone Applications (2021)
Presentation / Conference Contribution
Ullah, A., Parchin, N. O., Abdul-Al, M., Santos, H. M. D., See, C. H., Fun Hu, Y., & Abd-Alhameed, R. A. (2021, November). Dual-Band MIMO Antenna Array for Sub 6 GHz 5G Smartphone Applications. Presented at 2021 29th Telecommunications Forum (TELFOR), Be

In this article, a new MIMO smartphone antenna array with compact resonators is introduced for the fifth-generation mobile terminals. The proposed design was developed on an FR4 substrate with relative permittivity εr=4.3 and dielectric loss tangent... Read More about Dual-Band MIMO Antenna Array for Sub 6 GHz 5G Smartphone Applications.

Internal MIMO Antenna Design for Multi-Band Mobile Handset Applications (2021)
Presentation / Conference Contribution
Ullah, A., Parchin, N. O., Abdul-Al, M., Santos, H. M. D., See, C. H., Fun Hu, Y., & Abd-Alhameed, R. A. (2021). Internal MIMO Antenna Design for Multi-Band Mobile Handset Applications. In 2021 29th Telecommunications Forum (TELFOR). https://doi.org/10.1

In this research study, a new of 2×2 interior multi-band MIMO antenna is introduced for smartphone usages. The alignment of the antenna element contains a multi-mode monopole radiator with three L-shaped slits positioned at the border of the printed... Read More about Internal MIMO Antenna Design for Multi-Band Mobile Handset Applications.

Transfer learning-based method for detection of COVID-19 using X-Ray Images (2021)
Presentation / Conference Contribution
Rehman, A., Tariq, Z., Jan, S. U., Aziz, S., Khan, M. U., & Chaudry, H. N. (2021, October). Transfer learning-based method for detection of COVID-19 using X-Ray Images. Presented at 2021 International Conference on Robotics and Automation in Industry (ICR

In this paper, we have performed transfer learning using different pre-trained convolutional neural networks for binary classification of X-ray images into COVID-19 disease and normal. The dataset is gathered from two open sources. Our dataset is con... Read More about Transfer learning-based method for detection of COVID-19 using X-Ray Images.

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques (2021)
Journal Article
Kaur, I., Doja, M. N., Ahmad, T., Ahmad, M., Hussain, A., Nadeem, A., & Abd El-Latif, A. A. (2021). An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques. Computational Intelligence and Neuroscience, 2021, Article 6342226. h

Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian cancer patients bear a significant mortality rate. Survival estimation is essential for clinicians and patients to understand better and tolerate future outcomes.... Read More about An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques.

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks (2021)
Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022). Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016

The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solutions benefiting from the advancement of emerging technologies such as Wire... Read More about Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks.

Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-RuCl3 (2021)
Journal Article
Ran, K., Wang, J., Song, B., Cai, Z., Shangguan, Y., Ma, Z., Wang, W., Dong, Z., Cermák, P., Schneidewind, A., Meng, S., Lu, Z., Yu, S., Li, J., & Wen, J. (2022). Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-R

It is known that α-RuCl3 has been studied extensively because of its proximity to the Kitaev quantum-spin-liquid (QSL) phase and the possibility of approaching it by tuning the competing interactions. Here we present the first polarized inelastic neu... Read More about Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-RuCl3.