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All Outputs (842)

Flexibility-Based Stress-Driven Nonlocal Frame Element: Formulation and Applications (2022)
Journal Article
Limkatanyu, S., Sae-Long, W., Sedighi, H. M., Rungamornrat, J., Sukontasukkul, P., Zhang, H., & Chindaprasirt, P. (2023). Flexibility-Based Stress-Driven Nonlocal Frame Element: Formulation and Applications. Engineering with Computers, 39(1), 399-417. https://doi.org/10.1007/s00366-021-01576-4

In the present work, a novel flexibility-based nonlocal frame element for size-dependent analyses of nano-sized frame-like structures is proposed. The material small-scale effect is consistently represented by the stress-driven nonlocal integral mode... Read More about Flexibility-Based Stress-Driven Nonlocal Frame Element: Formulation and Applications.

Development of a standard operating procedure for the DCFH2-DA acellular assessment of reactive oxygen species produced by nanomaterials (2022)
Journal Article
Boyles, M., Murphy, F., Mueller, W., Wohlleben, W., Jacobsen, N. R., Braakhuis, H., Giusti, A., & Stone, V. (2022). Development of a standard operating procedure for the DCFH2-DA acellular assessment of reactive oxygen species produced by nanomaterials. Toxicology Mechanisms and Methods, 32(6), 439-452. https://doi.org/10.1080/15376516.2022.2029656

Improved strategies are required for testing nanomaterials (NMs) to make hazard and risk assessment more efficient and sustainable. Including reduced reliance on animal models, without decreasing the level of human health protection. Acellular detect... Read More about Development of a standard operating procedure for the DCFH2-DA acellular assessment of reactive oxygen species produced by nanomaterials.

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines (2022)
Journal Article
Fahim, M., Sharma, V., Cao, T., Canberk, B., & Duong, T. Q. (2022). Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access, 10, 14184-14194. https://doi.org/10.1109/access.2022.3147602

Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollute our planet. The wind farms monitoring and power generation prediction is... Read More about Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines.

Anti-racism and Occupational Therapy Education: Beyond Diversity and Inclusion (2022)
Journal Article
Sterman, J., Njelesani, J., & Carr, S. (2022). Anti-racism and Occupational Therapy Education: Beyond Diversity and Inclusion. Journal of Occupational Therapy Education, 6(1), Article 3. https://doi.org/10.26681/jote.2022.060103

There is a pressing need to address racism within healthcare education; however, occupational therapy educators lack a compilation of discipline-specific knowledge of anti-racist actions. The objective of this study was to examine anti-racist instruc... Read More about Anti-racism and Occupational Therapy Education: Beyond Diversity and Inclusion.

Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images (2022)
Journal Article
Ghandorh, H., Boulila, W., Masood, S., Koubaa, A., Ahmed, F., & Ahmad, J. (2022). Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images. Remote Sensing, 14(3), Article 613. https://doi.org/10.3390/rs14030613

Road detection technology plays an essential role in a variety of applications, such as urban planning, map updating, traffic monitoring and automatic vehicle navigation. Recently, there has been much development in detecting roads in high-resolution... Read More about Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images.

A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution (2022)
Journal Article
Arif, J., Khan, M. A., Ghaleb, B., Ahmad, J., Munir, A., Rashid, U., & Al-Dubai, A. Y. (2022). A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution. IEEE Access, 10, 12966-12982. https://doi.org/10.1109/access.2022.3146792

Privacy is a serious concern related to sharing videos or images among people over the Internet. As a method to preserve images’ privacy, chaos-based image encryption algorithms have been used widely to fulfil such a requirement. However, these algor... Read More about A Novel Chaotic Permutation-Substitution Image Encryption Scheme Based on Logistic Map and Random Substitution.

Ransomware: Analysing the Impact on Windows Active Directory Domain Services (2022)
Journal Article
McDonald, G., Papadopoulos, P., Pitropakis, N., Ahmad, J., & Buchanan, W. J. (2022). Ransomware: Analysing the Impact on Windows Active Directory Domain Services. Sensors, 22(3), Article 953. https://doi.org/10.3390/s22030953

Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enterprises have become prime targets for ransomware as they are more likely to... Read More about Ransomware: Analysing the Impact on Windows Active Directory Domain Services.

Spatial concept learning and inference on geospatial polygon data (2022)
Journal Article
Westphal, P., Grubenmann, T., Collarana, D., Bin, S., Bühmann, L., & Lehmann, J. (2022). Spatial concept learning and inference on geospatial polygon data. Knowledge-Based Systems, 241, Article 108233. https://doi.org/10.1016/j.knosys.2022.108233

Geospatial knowledge has always been an essential driver for many societal aspects. This concerns in particular urban planning and urban growth management. To gain insights from geospatial data and guide decisions usually authoritative and open data... Read More about Spatial concept learning and inference on geospatial polygon data.

Double-Layered Metamaterial Resonator Operating At Millimetre Wave FOR Detection Of Dengue Virus (2022)
Journal Article
Qureshi, S. A., Abidin, Z., Majid, H. A., Ashyap, A. Y., & See, C. H. (2022). Double-Layered Metamaterial Resonator Operating At Millimetre Wave FOR Detection Of Dengue Virus. International journal of electronics and communications = Archiv fur Elektronik und Ubertragungstechnik : AEU, 146, Article 154134. https://doi.org/10.1016/j.aeue.2022.154134

In this paper, a metamaterial-based resonator is proposed for the detection of dengue infection. The replaceable top layer can measure the dielectric characteristics of blood samples to detect the dengue virus. The sensor observed a shift in the reso... Read More about Double-Layered Metamaterial Resonator Operating At Millimetre Wave FOR Detection Of Dengue Virus.

The Effect of Occupants’ Behaviour on the Building Performance Gap: UK Residential Case Studies (2022)
Journal Article
Bahadori-Jahromi, A., Salem, R., Mylona, A., Hasan, A. U., & Zhang, H. (2022). The Effect of Occupants’ Behaviour on the Building Performance Gap: UK Residential Case Studies. Sustainability, 14(3), Article 1362. https://doi.org/10.3390/su14031362

Studies have shown that the assumptions used to create dynamic thermal models of buildings do not reflect their actual energy use. Bridging the energy performance gap is vital in ensuring that a designed or retrofitted building meets the energy perfo... Read More about The Effect of Occupants’ Behaviour on the Building Performance Gap: UK Residential Case Studies.

An Application of PRECIS-2 to Evaluate Trial Design in a Pilot Cluster Randomised Controlled Trial of a Community-based Smoking Cessation Intervention for Women Living in Disadvantaged Areas of Ireland (2022)
Journal Article
Darker, C., Loudon, K., O'Connell, N., Castello, S., Burke, E., Vance, J., Reynolds, C., Buggy, A., Dougall, N., Williams, P., Dobbie, F., Bauld, L., & Hayes, C. B. (2022). An Application of PRECIS-2 to Evaluate Trial Design in a Pilot Cluster Randomised Controlled Trial of a Community-based Smoking Cessation Intervention for Women Living in Disadvantaged Areas of Ireland. Pilot and Feasibility Studies, 8(1), Article 19. https://doi.org/10.1186/s40814-022-00969-6

Background
“We Can Quit2” (WCQ2) was a pilot cluster randomised controlled trial with an embedded process evaluation assessing the feasibility and acceptability of ‘We Can Quit’ (WCQ), a peer-delivered community-based stop-smoking programme for wome... Read More about An Application of PRECIS-2 to Evaluate Trial Design in a Pilot Cluster Randomised Controlled Trial of a Community-based Smoking Cessation Intervention for Women Living in Disadvantaged Areas of Ireland.

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle (2022)
Journal Article
Borsci, S., Lehtola, V. V., Nex, F., Yang, M. Y., Augustijn, E., Bagheriye, L., Brune, C., Kounadi, O., Li, J., Moreira, J., Van Der Nagel, J., Veldkamp, B., Le, D. V., Wang, M., Wijnhoven, F., Wolterink, J. M., & Zurita-Milla, R. (2023). Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI & society, 38, 1465-1484. https://doi.org/10.1007/s00146-021-01383-x

The European Union (EU) Commission’s whitepaper on Artificial Intelligence (AI) proposes shaping the emerging AI market so that it better reflects common European values. It is a master plan that builds upon the EU AI High-Level Expert Group guidelin... Read More about Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle.

A Bibliometric Study and Science Mapping Research of Intelligent Decision (2022)
Journal Article
Li, B., Xu, Z., Hong, N., & Hussain, A. (2022). A Bibliometric Study and Science Mapping Research of Intelligent Decision. Cognitive Computation, 14, 989-1008. https://doi.org/10.1007/s12559-022-09993-3

Intelligent decision (ID) has received a great deal of attention and has been integrated into various fields, such as machine learning, fuzzy inference system, and natural language processing. The advanced technologies have become hot topics and have... Read More about A Bibliometric Study and Science Mapping Research of Intelligent Decision.

Assessing and Monitoring of Building Performance by Diverse Methods (2022)
Journal Article
Seminara, P., Vand, B., Sajjadian, S. M., & Tupenaite, L. (2022). Assessing and Monitoring of Building Performance by Diverse Methods. Sustainability, 14(3), Article 1242. https://doi.org/10.3390/su14031242

Buildings are one of the largest contributors to energy consumption and greenhouse gas emissions (GHG) in the world. There is an increased interest in building performance evaluation as an essential practice to design a sustainable building. Building... Read More about Assessing and Monitoring of Building Performance by Diverse Methods.

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing (2022)
Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., Ramzan, N., Ullah Jan, S., Ahmad, J., & Abbasi, Q. H. (2022). Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing. Sensors, 22(3), Article 809. https://doi.org/10.3390/s22030809

Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is fo... Read More about Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing.

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images (2022)
Journal Article
Ieracitano, C., Mammone, N., Versaci, M., Varone, G., Ali, A., Armentano, A., Calabrese, G., Ferrarelli, A., Turano, L., Tebala, C., Hussain, Z., Sheikh, Z., Sheikh, A., Sceni, G., Hussain, A., & Morabito, F. C. (2022). A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing, 481, 202-215. https://doi.org/10.1016/j.neucom.2022.01.055

The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR) have been an important imaging modality for assisting in the diagnosis and management of hospitalised Covid-19 patients. However, their interpretation is time... Read More about A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing (2022)
Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., Ramzan, N., Ullah Jan, S., Ahmad, J., & H. Abbasi, Q. (2022). Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing. Sensors, 22(3), Article 809. https://doi.org/10.3390/s22030809

Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is fo... Read More about Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing.