All Outputs (6111)

CyberEntRel: Joint Extraction of Cyber Entities and Relations using Deep Learning (2023)
Journal Article
Ahmed, K., Khurshid, S. K., & Hina, S. (2024). CyberEntRel: Joint Extraction of Cyber Entities and Relations using Deep Learning. Computers and Security, 136, 103579. https://doi.org/10.1016/j.cose.2023.103579

The cyber threat intelligence (CTI) knowledge graph is beneficial for making robust defense strategies for security professionals. These are built from cyber threat intelligence data based on relation triples where each relation triple contains two e... Read More about CyberEntRel: Joint Extraction of Cyber Entities and Relations using Deep Learning.

Computation of stagnation point convection flow of CNT- nanofluids from a stretching sheet with melting: dual solution (2023)
Journal Article
Rifat, M., Rubel, H., Ferdows, M., Tazin, T., Bég, T. A., Bég, O. A., & Kadir, A. (2023). Computation of stagnation point convection flow of CNT- nanofluids from a stretching sheet with melting: dual solution. #Journal not on list, https://doi.org/10.1115/1.4063645

A theoretical study in stagnation point flow is presented where melting heat transfer effects of carbon nanotube (CNT)-from a stretching surface is appeared. Both carbon nanotubes like single-wall CNT (SWCNT) and multi-wall CNT (MWCNT) are homogeneou... Read More about Computation of stagnation point convection flow of CNT- nanofluids from a stretching sheet with melting: dual solution.

Exploring Gamification Research Trends Using Topic Modeling (2023)
Journal Article
Ayaz, A., Ozyurt, O., Al-Rahmi, W. M., Salloum, S., Shutaleva, A., Alblehai, F., & Habes, M. (2023). Exploring Gamification Research Trends Using Topic Modeling. IEEE Access, https://doi.org/10.1109/access.2023.3326444

Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification. Consequent... Read More about Exploring Gamification Research Trends Using Topic Modeling.

Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks (2023)
Journal Article
Gaber, T., Awotunde, J. B., Torky, M., Ajagbe, S. A., Hammoudeh, M., & Li, W. (2023). Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks. Internet of Things, 24, 100977. https://doi.org/10.1016/j.iot.2023.100977

Combining the metaverse and the Internet of Things (IoT) will lead to the development of diverse, virtual, and more advanced networks in the future. The integration of IoT networks with the metaverse will enable more meaningful connections between th... Read More about Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks.

Enhanced Activity and Stability of an Acetyl Xylan Esterase in Hydrophilic Alcohols through Site-Directed Mutagenesis (2023)
Journal Article
Madubuike, H., & Ferry, N. (in press). Enhanced Activity and Stability of an Acetyl Xylan Esterase in Hydrophilic Alcohols through Site-Directed Mutagenesis. Molecules, 28(21), 7393. https://doi.org/10.3390/molecules28217393

Current demands for the development of suitable biocatalysts showing high process performance is stimulated by the need to replace current chemical synthesis with cleaner alternatives. A drawback to the use of biocatalysts for unique applications is... Read More about Enhanced Activity and Stability of an Acetyl Xylan Esterase in Hydrophilic Alcohols through Site-Directed Mutagenesis.

How Activated Carbon Can Help You—Processes, Properties and Technological Applications (2023)
Journal Article
Scholz, M. (in press). How Activated Carbon Can Help You—Processes, Properties and Technological Applications. Technologies, 11(6), 153. https://doi.org/10.3390/technologies11060153

Activated carbon has many potential applications in both the liquid and gas phases. How activated carbon can help practitioners in industry is explained. This practical teaching article introduces the first part of the special issue on Recent Advance... Read More about How Activated Carbon Can Help You—Processes, Properties and Technological Applications.

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
Tufa, T. B., Margos, G., Fingerle, V., Hartberger, C., Poppert, S., Birtles, R. J., …Feldt, T. (in press). Evidence for Bartonella quintana in Lice Collected from the Clothes of Ethiopian Homeless Individuals. Pathogens, 12(11), 1299. https://doi.org/10.3390/pathogens12111299

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.

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.

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.

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.

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.

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.

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.

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..

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.

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.