Outputs (310)

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.

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)
Journal Article
Ferriz-Papi, J. A., Wang, Y., Arevalillo Roman, A., & Valentin, J. (2023). New Technologies for New Materials and Products from Construction and Demolition Waste. Advances in Science and Technology, 133, 65-71. https://doi.org/10.4028/p-29vgqd

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
Khanam, R., Nayak, A. K., Kulsum, P. G. P. S., Mandal, J., Shahid, M., Tripathy, R., …Bandaru, R. G. (in press). Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-023-30339-5

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..

A new deep CNN for 3D text localization in the wild through shadow removal (2023)
Journal Article
Shivakumara, P., Banerjee, A., Nandanwar, L., Pal, U., Antonacopoulos, A., Lu, T., & Blumenstein, M. (2024). A new deep CNN for 3D text localization in the wild through shadow removal. Computer Vision and Image Understanding, 238, https://doi.org/10.1016/j.cviu.2023.103863

Text localization in the wild is challenging due to the presence of 2D and 3D texts, the presence of shadows, arbitrary orientated text with non-linear arrangements, varying lighting conditions as well as complex background. This paper proposes the f... Read More about A new deep CNN for 3D text localization in the wild through shadow removal.

A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation (2023)
Journal Article
Hand, S. J., Maugoust, J., Beck, R. M., & Orliac, M. J. (2023). A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation. Current Biology, 33(21), 4624-4640. https://doi.org/10.1016/j.cub.2023.09.043

Bats are among the most recognizable, numerous, and widespread of all mammals. But much of their fossil record is missing, and bat origins remain poorly understood, as do the relationships of early to modern bats. Here, we describe a new early Eocene... Read More about A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation.