All Outputs (1508)

The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence (2021)
Presentation / Conference Contribution
Strathearn, C., & Ma, M. (2020, July). The Multimodal Turing Test for Realistic Humanoid Robots with Embodied Artificial Intelligence. Presented at Lifelike Computing Systems: 8th Edition in the Evolution of the Series of Autonomously Learning and Optimizing Systems (SAOS), Online

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.

British War Writing, 1900–1920: Empire, Mass Warfare and Mass Culture (2021)
Book Chapter
Frayn, A. (2021). British War Writing, 1900–1920: Empire, Mass Warfare and Mass Culture. In J. Purdon (Ed.), British Literature in Transition, 1900–1920: A New Age? (106-121). Cambridge University Press. https://doi.org/10.1017/9781108648714.007

Representations of conflict in the early twentieth century respond both to the impact of mass industrial warfare, particularly in the First World War, and the development of mass culture following the Education Acts of the late nineteenth century. Co... Read More about British War Writing, 1900–1920: Empire, Mass Warfare and Mass Culture.

Perceptions of Nursing Students Regarding Clinical Teaching and Learning During COVID-19 at Selected Higher Education Institutions in Lesotho (2021)
Preprint / Working Paper
Nyangu, I., & Rathobei, L. Perceptions of Nursing Students Regarding Clinical Teaching and Learning During COVID-19 at Selected Higher Education Institutions in Lesotho

Nursing students and their clinical instructors in higher education institutions are faced with challenges regarding their clinical teaching and learning strategies during the COVID-19 pandemic. This study aimed to determine the perceptions of nursin... Read More about Perceptions of Nursing Students Regarding Clinical Teaching and Learning During COVID-19 at Selected Higher Education Institutions in Lesotho.

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.

Effect of weight restriction strategies in judokas (2021)
Journal Article
Gordon, Y., Souglis, A., & Andronikos, G. (2021). Effect of weight restriction strategies in judokas. Journal of Physical Education and Sport, 21(6), 3394-3404. https://doi.org/10.7752/jpes.2021.06460

Objective/Background: Prior to and surrounding a Judo competition athletes manipulate Body Mass (BM) to gain a theoretical advantage when competing against a weaker opponent using a universally practiced tactic known as rapid weight loss (RWL). RWL i... Read More about Effect of weight restriction strategies in judokas.

“Hayan na ang mga Hampas-dugo! (the Penitents are coming!)”: Penitensya as Religious-Dark Tourism (2021)
Journal Article
Wight, C., & Victoria, M. (2022). “Hayan na ang mga Hampas-dugo! (the Penitents are coming!)”: Penitensya as Religious-Dark Tourism. Tourist Studies, 22(1), 89-113. https://doi.org/10.1177/14687976211067261

This paper applies indigenous research methods to understand the motives of visitors attending Penitensya (a Lenten Filipino ritual involving violent ritualistic performances) which we introduce as a novel form of religious-dark tourism. The paper al... Read More about “Hayan na ang mga Hampas-dugo! (the Penitents are coming!)”: Penitensya as Religious-Dark Tourism.

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.matlet.2021.131602

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 Telecommunications Forum (TELFOR), Belgrade, Serbia [Online]

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), Belgrade, Serbia [Online]

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, November). Internal MIMO Antenna Design for Multi-Band Mobile Handset Applications. Presented at 2021 29th Telecommunications Forum (TELFOR), Belgrade, Serbia [Online]

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 (ICRAI), Rawalpindi, Pakistan

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. https://doi.org/10.1155/2021/6342226

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.

Identification of Parachlamydiaceae DNA in nasal and rectal passages of healthy dairy cattle (2021)
Journal Article
Wheelhouse, N., Hearn, J., Livingstone, M., Flockhart, A., Dagleish, M., & Longbottom, D. (2022). Identification of Parachlamydiaceae DNA in nasal and rectal passages of healthy dairy cattle. Journal of Applied Microbiology, 132(4), 2642-2648. https://doi.org/10.1111/jam.15422

Aims The order Chlamydiales comprises a broad range of bacterial pathogens and endosymbionts, which infect a wide variety of host species. Within this order, members of the family Parachlamydiaceae, which includes Parachlamydia and Neochlamydia spec... Read More about Identification of Parachlamydiaceae DNA in nasal and rectal passages of healthy dairy cattle.

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/j.phycom.2021.101584

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-RuCl3. Chinese Physics Letters, 39(2), Article 027501. https://doi.org/10.1088/0256-307X/39/2/027501

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.

Risks in financial services (2021)
Book Chapter
Ring, P. J., & Adamolekun, B. (2021). Risks in financial services. In L. Luu, J. Lowe, P. Ring, & A. Sahota (Eds.), A Practical Guide to Financial Services: Knowledge, Opportunities and Inclusion. Routledge

While we may not think of it in these terms, we all take risks everyday – whether that be crossing the road, getting on a train, or climbing a set of ladders. Research even tells us that sitting down all day (at a desk or on a couch) can have risks f... Read More about Risks in financial services.

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.2021.103794

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., Dashtipour, K., Neri, S., Gasparini, S., Morabito, F. C., Hussain, A., & Aguglia, U. (2022). A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls. Sensors, 22(1), Article 129. https://doi.org/10.3390/s22010129

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.