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All Outputs (27104)

A distributed sensor-fault detection and diagnosis framework using machine learning (2020)
Journal Article
Jan, S. U., Lee, Y. D., & Koo, I. S. (2021). A distributed sensor-fault detection and diagnosis framework using machine learning. Information Sciences, 547, 777-796. https://doi.org/10.1016/j.ins.2020.08.068

The objective of this work is to design a sensor-fault detection and diagnosis system for the Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this objective within the limited computation, memory, and energy resour... Read More about A distributed sensor-fault detection and diagnosis framework using machine learning.

Artificial neural networks training acceleration through network science strategies (2020)
Journal Article
Cavallaro, L., Bagdasar, O., De Meo, P., Fiumara, G., & Liotta, A. (2020). Artificial neural networks training acceleration through network science strategies. Soft Computing, 24, https://doi.org/10.1007/s00500-020-05302-y

The development of deep learning has led to a dramatic increase in the number of applications of artificial intelligence. However, the training of deeper neural networks for stable and accurate models translates into artificial neural networks (ANNs)... Read More about Artificial neural networks training acceleration through network science strategies.

The cross-section of industry equity returns and global tactical asset allocation across regions and industries (2020)
Journal Article
Umutlu, M., & Bengitöz, P. (2020). The cross-section of industry equity returns and global tactical asset allocation across regions and industries. International Review of Financial Analysis, 72, Article 101574. https://doi.org/10.1016/j.irfa.2020.101574

This study investigates which index characteristics predict returns in the cross-section of local industry indexes in six regions. The results show that geographical origin and market capitalization of indexes critically determine the predictive abil... Read More about The cross-section of industry equity returns and global tactical asset allocation across regions and industries.

Family ward rounds in Intensive Care: an integrative review of the literature (2020)
Journal Article
Kydonaki, K., Takashima, M., & Mitchell, M. (2021). Family ward rounds in Intensive Care: an integrative review of the literature. International Journal of Nursing Studies, 113, Article 103771. https://doi.org/10.1016/j.ijnurstu.2020.103771

Background
The involvement of family members in the ward rounds is a novel but under-researched family-centered care intervention in adult intensive care units, with limited evidence on the impact it has on patient and family-centered outcomes.

O... Read More about Family ward rounds in Intensive Care: an integrative review of the literature.

Supporting the resilience and retention of frontline care workers in care homes for older people: A scoping review and thematic synthesis (2020)
Preprint / Working Paper
Johnston, L., Malcolm, C., Rambabu, L., Hockley, J., & Shenkin, S. D. Supporting the resilience and retention of frontline care workers in care homes for older people: A scoping review and thematic synthesis

The COVID-19 pandemic has reinforced the need to ensure that strategic and operational approaches
to retain high quality, resilient frontline care home workers, who are not registered nurses, are
informed by context specific, high quality evidence.... Read More about Supporting the resilience and retention of frontline care workers in care homes for older people: A scoping review and thematic synthesis.

Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks (2020)
Journal Article
Alsarhan, A., Al-Ghuwairi, A.-R., Almalkaw, I., Alauthman, M., & Al-Dubai, A. (2021). Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks. Wireless Personal Communications, 117, 3129-3152 (2021). https://doi.org/10.1007/s11277-020-07797-y

An essential element in the smart city vision is providing safe and secure journeys via intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a significant role in enhancing road safety where vehicles can share road inf... Read More about Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks.

Deep Compressed Sensing for Characterizing Inflammation Severity with Microultrasound (2020)
Presentation / Conference Contribution
Yang, S., Lemke, C., Cox, B. F., Newton, I. P., Cochran, S., & Nathke, I. (2020, September). Deep Compressed Sensing for Characterizing Inflammation Severity with Microultrasound. Presented at 2020 IEEE International Ultrasonics Symposium (IUS), Las Vegas, NV, USA

With histological information on inflammation status as the ground truth, deep learning methods can be used as a classifier to distinguish different stages of bowel inflammation based on microultrasound (μUS) B-scan images. However, it is extremely t... Read More about Deep Compressed Sensing for Characterizing Inflammation Severity with Microultrasound.

What respiratory teaching is currently being delivered to pre-registration nurses in the United Kingdom? (2020)
Presentation / Conference Contribution
Roberts, N. J., Welch, L., Kelly, C., & Lippiett, K. What respiratory teaching is currently being delivered to pre-registration nurses in the United Kingdom?. Presented at 2020 ERS International Congress, Online

The content of respiratory teaching and learning in pre-registration United Kingdom (UK) nursing programmes is unknown. This descriptive study examines taught respiratory skills/knowledge in UK universities.

75 Universities offering pre-registrati... Read More about What respiratory teaching is currently being delivered to pre-registration nurses in the United Kingdom?.

What Tools And Resources Do Pulmonary Rehabilitation Teams Use To Deliver Education? (2020)
Presentation / Conference Contribution
Roberts, N. J., Kidd, L., Kirkwood, K., Cross, J., & Partridge., M. What Tools And Resources Do Pulmonary Rehabilitation Teams Use To Deliver Education?. Presented at 2020 ERS International Congress, Online

Background: Suggestions for educational content in pulmonary rehabilitation are detailed in clinical guidelines, however in practice it is unclear; what content is delivered and how. This survey examined the educational content, resources and deliver... Read More about What Tools And Resources Do Pulmonary Rehabilitation Teams Use To Deliver Education?.

Safety Prequalification Criteria for Contractor Selection in Construction Projects: A Systematic Review (2020)
Presentation / Conference Contribution
Razak, N. A., Ejohwomu, O., Fenn, P., Okedara, K., Dosumu, B., & Muhammad-Sukki, F. (2020, September). Safety Prequalification Criteria for Contractor Selection in Construction Projects: A Systematic Review. Paper presented at Association of Researchers in Construction Management 36th Annual Conference (ARCOM 2020), Glasgow

Selecting an appropriate contractor is a crucial phase that clients normally conduct to execute projects. For the past few decades, various techniques have been proposed for contractor selection method; however, many decisions lean towards accepting... Read More about Safety Prequalification Criteria for Contractor Selection in Construction Projects: A Systematic Review.

Dynamics Analysis of a Jet-Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications (2020)
Journal Article
Sharmin, N., & Tingas, E.-A. (2020). Dynamics Analysis of a Jet-Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications. Journal of Energy Engineering, 146(6), Article 04020064. https://doi.org/10.1061/%28asce%29ey.1943-7897.0000714

The autoignition dynamics of a three-component surrogate jet fuel (66.2% n-dodecane, 15.8% n-proplylbenzene, 18.0% 1,3,5-trimethylcyclohexane) suitable for usage as Jet A-1 and RP-3 aviation fuels are analyzed, using the detailed mechanism of Liu et... Read More about Dynamics Analysis of a Jet-Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications.

Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks (2020)
Journal Article
Busaileh, O., Hawbani, A., Xingfu, W., Liu, P., Zhao, L., & Al-Dubai, A. (2022). Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 21(4), 1520-1536. https://doi.org/10.1109/TMC.2020.3022403

Wireless sensor networks (WSNs) with a static sink suffer from concentrated data traffic in the vicinity of the sink, which increases the burden on the nodes surrounding the sink, and impels them to deplete their batteries faster than other nodes in... Read More about Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks.

Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps (2020)
Journal Article
Shah, S. A., Ahmad, J., Masood, F., Shah, S. Y., Pervaiz, H., Taylor, W., Imran, M. A., & Abbasi, Q. H. (2021). Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps. IEEE Sensors Journal, 21(3), 3669-3679. https://doi.org/10.1109/jsen.2020.3022564

The health status of an elderly person can be identified by examining the additive effects of aging along disease linked to it and can lead to the ’unstable incapacity’. This health status is essentially determined by the apparent decline of independ... Read More about Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps.

Effect of nanofillers characteristics and their selective localization on morphology development and rheological properties of melt-processed polylactide/poly(butylene adipate-co-terephthalate) blend composites (2020)
Journal Article
Salehiyan, R., Nofar, M., Malkappa, K., & Ray, S. S. (2020). Effect of nanofillers characteristics and their selective localization on morphology development and rheological properties of melt-processed polylactide/poly(butylene adipate-co-terephthalate) blend composites. Polymer Engineering and Science, 60(11), 2749-2760. https://doi.org/10.1002/pen.25505

This article reports the effects of the characteristics and selective localization of nanofillers on the morphology development and rheological properties of melt-processed polylactide/poly(butylene adipate-co-terephthalate) (PLA/PBAT) blend composit... Read More about Effect of nanofillers characteristics and their selective localization on morphology development and rheological properties of melt-processed polylactide/poly(butylene adipate-co-terephthalate) blend composites.

Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries (2020)
Journal Article
zu Ermgassen, P. S., Mukherjee, N., Worthington, T. A., Acosta, A., Rocha Araujo, A. R. D., Beitl, C. M., Castellanos-Galindo, G. A., Cunha-Lignon, M., Dahdouh-Guebas, F., Diele, K., Parrett, C. L., Dwyer, P. G., Gair, J. R., Frederick Johnson, A., Kuguru, B., Savio Lobo, A., Loneragan, N., Longley-Wood, K., Mendonça, J. T., Meynecke, J.-O., …Spalding, M. (2020). Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries. Estuarine, Coastal and Shelf Science, 247, Article 106975. https://doi.org/10.1016/j.ecss.2020.106975

Mangroves are critical nursery habitats for fish and invertebrates, providing livelihoods for many coastal communities. Despite their importance, there is currently no estimate of the number of fishers engaged in mangrove associated fisheries, nor on... Read More about Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries.

Effectiveness of voice stimulus on the level of consciousness, physiological parameters and behavioural responses in comatose patients – A feasibility study (2020)
Journal Article
Varghese, R., Sulochana, B., & D'Souza, P. J. J. (2021). Effectiveness of voice stimulus on the level of consciousness, physiological parameters and behavioural responses in comatose patients – A feasibility study. Clinical Epidemiology and Global Health, 9, 150-156. https://doi.org/10.1016/j.cegh.2020.08.006

Purpose
This research aimed to determine the effectiveness of voice stimulus on the level of consciousness, physiological parameters and behavioural response of comatose patients in a tertiary care hospital of Udupi district, Karnataka, India.
Meth... Read More about Effectiveness of voice stimulus on the level of consciousness, physiological parameters and behavioural responses in comatose patients – A feasibility study.

Novel BaTiO3-Based, Ag/Pd-Compatible Lead-Free Relaxors with Superior Energy Storage Performance (2020)
Journal Article
Yang, H., Lu, Z., Li, L., Bao, W., Ji, H., Li, J., Feteira, A., Xu, F., Zhang, Y., Sun, H., Huang, Z., Lou, W., Song, K., Sun, S., Wang, G., Wang, D., & Reaney, I. M. (2020). Novel BaTiO3-Based, Ag/Pd-Compatible Lead-Free Relaxors with Superior Energy Storage Performance. ACS applied materials & interfaces, 12(39), 43942-43949. https://doi.org/10.1021/acsami.0c13057

Ceramic dielectrics are reported with superior energy storage performance for applications, such as power electronics in electrical vehicles. A recoverable energy density (Wrec) of ∼4.55 J cm–3 with η ∼ 90% is achieved in lead-free relaxor BaTiO3-0.0... Read More about Novel BaTiO3-Based, Ag/Pd-Compatible Lead-Free Relaxors with Superior Energy Storage Performance.

Asian community’s responses to the COVID-19 pandemic in New Zealand: Risk perceptions, government measures and ethnic boundaries (2020)
Presentation / Conference Contribution
Liu, L. S., & Ran, G. J. (2020, September). Asian community’s responses to the COVID-19 pandemic in New Zealand: Risk perceptions, government measures and ethnic boundaries. Paper presented at Aotearoa Migration Research Network Symposium: Migration in uncertain times: Im/mobilities, belonging and identities in Aotearoa/New Zealand, Hamilton

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples (2020)
Presentation / Conference Contribution
Babaagba, K., Tan, Z., & Hart, E. (2020, July). Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. Presented at The 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020), Glasgow, UK

Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this, we explore whether machine-learning models can be improved by augmenting t... Read More about Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples.