All Outputs (484)

Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm (2023)
Working Paper
Yang, H., Wei, G., Ren, L., & Yan, L. Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm

This paper endeavours to bridge the existing gap in muscular actuator design for ligament-skeletal-inspired robots, thereby fostering the evolution of these robotic systems. We introduce two novel compliant actuators, namely the Internal Torsion Spri... Read More about Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm.

A New Lightweight Script Independent Scene Text Style Transfer Network (2023)
Journal Article
Shivakumara, P., Roy, A., Nandanwar, L., Pal, U., Lu, Y., & Liu, C.-L. (2023). A New Lightweight Script Independent Scene Text Style Transfer Network. International Journal of Pattern Recognition and Artificial Intelligence, 37(13), https://doi.org/10.1142/S0218001423530038

Scene text style transfer without a language barrier is an open challenge for the video and scene text recognition community because this plays a vital role in poster, web design, augmenting character images, and editing characters to improve scene... Read More about A New Lightweight Script Independent Scene Text Style Transfer Network.

Critical Success Factors and Challenges in Adopting Digital Transformation in the Saudi Ministry of Education (2023)
Journal Article
Alojail, M., Alshehri, J., & Khan, S. B. (in press). Critical Success Factors and Challenges in Adopting Digital Transformation in the Saudi Ministry of Education. Sustainability, 15(21), 15492. https://doi.org/10.3390/su152115492

Many countries are using digital transformation to increase their productivity and organizational performance. In Saudi Arabia, digital transformation is a crucial part of their Saudi Vision 2030 plan, but it is still in its early stages. To understa... Read More about Critical Success Factors and Challenges in Adopting Digital Transformation in the Saudi Ministry of Education.

Evidence for Bartonella quintana in Lice Collected from the Clothes of Ethiopian Homeless Individuals (2023)
Journal Article

Human lice, Pediculus humanus, can transmit various pathogens, including Bartonella quintana, Borrelia recurrentis, and Rickettsia prowazekii. Xenosurveillance is an epidemiological approach to assessing human infection risks performed by screening v... Read More about Evidence for Bartonella quintana in Lice Collected from the Clothes of Ethiopian Homeless Individuals.

Managing Uncertainties in Supply Chains for Enhanced E-Commerce Engagement: A Generation Z Perspective on Retail Shopping through Facebook (2023)
Journal Article
Al Moteri, M., Alojail, M., & Khan, S. B. (in press). Managing Uncertainties in Supply Chains for Enhanced E-Commerce Engagement: A Generation Z Perspective on Retail Shopping through Facebook. Sustainability, 15(21), 15351. https://doi.org/10.3390/su152115351

This research investigates the uncertainties in supply chains using symmetrical and asymmetrical modeling tools, focusing on the attitudes of millennials towards Facebook retail shopping. By exploring antecedents such as pleasure, credibility, and pe... Read More about Managing Uncertainties in Supply Chains for Enhanced E-Commerce Engagement: A Generation Z Perspective on Retail Shopping through Facebook.

Two-stage Domain Adaptation for Infrared Ship Target Segmentation (2023)
Journal Article
Zhang, T., Shen, H., Rehman, S. U., Liu, Z., Li, Y., & Rehman, O. U. (2023). Two-stage Domain Adaptation for Infrared Ship Target Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 61, https://doi.org/10.1109/tgrs.2023.3325298

Ship target segmentation in infrared scenes has always been a hot topic, since it is an important basis and prerequisite for infrared-guided weapons to reliably capture and recognize ship targets in the sea-level background. However, given the small... Read More about Two-stage Domain Adaptation for Infrared Ship Target Segmentation.

Development of a methodology for the performance improvement of Nigerian office buildings considering bioclimatic design perspectives (2023)
Thesis

There is a need to improve the environmental performance of Nigeria’s office buildings due to
new expectations, and the current challenges including energy shortage, increasing
population, changing user needs, and climate change. While several Nige... Read More about Development of a methodology for the performance improvement of Nigerian office buildings considering bioclimatic design perspectives.

The Role of lnterleukin-8 In lschemic Heart Disease and Oxidative Stress (2023)
Thesis

Ischemic heart disease also known as coronary heart disease remains a primary cause of mortality and morbidity worldwide (Nowbar et al., 2019). Several mechanisms are involved in the development of the condition, such as chronic inflammation and the... Read More about The Role of lnterleukin-8 In lschemic Heart Disease and Oxidative Stress.

Taxonomy, Phylogeny and Habitat Suitability of Bearded Sakis (Chiropotes, Lesson 1840) (2023)
Thesis

Pitheciinae are a subfamily of South American monkeys. They possess dental specialisations that allow them to break open the hard pericarps of fruits, making them ecological seed predators. The genera that make up this subfamily are Cacajao (Lesson,... Read More about Taxonomy, Phylogeny and Habitat Suitability of Bearded Sakis (Chiropotes, Lesson 1840).

Cyberattacks and Security of Cloud Computing: A Complete Guideline (2023)
Journal Article
Dawood, M., Tu, S., Xiao, C., Alasmary, H., Waqas, M., & Rehman, S. U. (in press). Cyberattacks and Security of Cloud Computing: A Complete Guideline. Symmetry, 15(11), 1981. https://doi.org/10.3390/sym15111981

Cloud computing is an innovative technique that offers shared resources for stock cache and server management. Cloud computing saves time and monitoring costs for any organization and turns technological solutions for large-scale systems into server-... Read More about Cyberattacks and Security of Cloud Computing: A Complete Guideline.

Iterative metric-based waveguide optimisation (2023)
Presentation / Conference
MacDonald, L., Oclee-Brown, J., Dodd, M., & Hargreaves, J. (2023, October). Iterative metric-based waveguide optimisation. Paper presented at 155th Audio Engineering Society Convention, New York

Sensitivities Of Interfacial Bond-Sip Properties In Predicting The Behaviour Of FRP-Strengthened Concrete (2023)
Presentation / Conference Contribution

The performance of FRP-bonded concrete is heavily influenced by the properties of the bond between the two materials. Various bond-slip models incorporating interfacial bond properties have been developed to understand and predict this behaviour. In... Read More about Sensitivities Of Interfacial Bond-Sip Properties In Predicting The Behaviour Of FRP-Strengthened Concrete.

An Attention based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition (2023)
Journal Article

Digital water meter digit recognition from images of water meter readings is a challenging research problem. One key reason is that this might be a lack of publicly available datasets to develop such methods. Another reason is the digits suffer from... Read More about An Attention based Fusion of ResNet50 and InceptionV3 Model for Water Meter Digit Recognition.

A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation (2023)
Journal Article
Liu, K., Lyu, S., Shivakumara, P., Blumenstein, M., & Lu, Y. (2023). A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation. IEEE Signal Processing Letters, 30, https://doi.org/10.1109/LSP.2023.3326088

Detecting prohibited items via X-ray screening at airports and sensitive venues is essential for preventing smuggling and breaches of security. The difficulty in prohibited items inspection lies in accurately detecting prohibited items in complex X-r... Read More about A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation.

Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition (2023)
Journal Article
Abdul-Hussain, G., Holderbaum, W., Theodoridis, T., Wei, G., El-Hussieny, H., & Ferriz-Papi, J. A. (in press). Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition. Advances in Science and Technology, 133, 3-10. https://doi.org/10.4028/p-eeodk5

Tactile sensors in wearable devices have gained attention for their potential applications in enhancing amenability, generation, and functionality for the human body, including sensing and control. This study elaborates on the design of a tactile sen... Read More about Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition.

Gypsum and rice husk ash for sustainable stabilization of forest road subgrade (2023)
Journal Article
Sharifi Teshnizi, E., Mirzababaei, M., Karimiazar, J., Arjmandzadeh, R., & Mahmoudpardabad, K. (in press). Gypsum and rice husk ash for sustainable stabilization of forest road subgrade. Quarterly Journal of Engineering Geology and Hydrogeology, https://doi.org/10.1144/qjegh2023-008

Forest roads are crucial for economic development and resource accessibility, especially in regions with extensive wood demand driven by construction growth. These roads require consistent maintenance to prevent structural issues, even though they ex... Read More about Gypsum and rice husk ash for sustainable stabilization of forest road subgrade.

New Technologies for New Materials and Products from Construction and Demolition Waste (2023)
Presentation / Conference Contribution

Construction and demolition waste (CDW) accounted for almost 36% of total waste produced in the European Union in 2018. Growing recovery rates are achieved but mainly for low-value applications. Variable composition and characteristics undermine cust... Read More about New Technologies for New Materials and Products from Construction and Demolition Waste.

Generalised analytical solutions for linear and non-linear bond-slip models for externally bonded FRP to a concrete substrate (2023)
Journal Article
Augusthus Nelson, L., Weekes, L., Milani, G., & Al-Allaf, M. (2024). Generalised analytical solutions for linear and non-linear bond-slip models for externally bonded FRP to a concrete substrate. Engineering Structures, 298, https://doi.org/10.1016/j.engstruct.2023.117025

This article presents a set of novel analytical derivations from generalised bond-slip models using first principles, which can be used to predict experimental outcomes, including maximum load resistance, load-slip response, and strain throughout the... Read More about Generalised analytical solutions for linear and non-linear bond-slip models for externally bonded FRP to a concrete substrate.

Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images (2023)
Journal Article
Rao, P. K., Chatterjee, S., Janardhan, M., Nagaraju, K., Khan, S. B., Almusharraf, A., & Alharbe, A. I. (in press). Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images. Diagnostics, 13(20), 3244. https://doi.org/10.3390/diagnostics13203244

Kidney tumors represent a significant medical challenge, characterized by their often-asymptomatic nature and the need for early detection to facilitate timely and effective intervention. Although neural networks have shown great promise in disease p... Read More about Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images.

Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. (2023)
Journal Article

Arsenic (As) is a well-known human carcinogen, and the consumption of rice is the main pathway for the South Asian people. The study evaluated the impact of the amendments involving CaSiO , SiO nanoparticles, silica solubilizing bacteria (SSB), and... Read More about Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment..