All Outputs (1481)

Speculative and Critical Design: approaches and influences in education (2022)
Journal Article
Helgason, I., Encinas, E., Mitrovic, I., & Smyth, M. (2022). Speculative and Critical Design: approaches and influences in education. Interaction Design and Architecture(s) IxDetA, 5-7. https://doi.org/10.55612/s-5002-051-001psi

As guest editors of this special edition we are delighted to present this selection of papers responding to our call about Speculative and Critical Design in education. The response to the call demonstrates that interest in this approach is increasin... Read More about Speculative and Critical Design: approaches and influences in education.

Instruments and Tools to Identify Radical Textual Content (2022)
Journal Article
Mothe, J., Ullah, M. Z., Okon, G., Schweer, T., Juršėnas, A., & Mandravickaitė, J. (2022). Instruments and Tools to Identify Radical Textual Content. Information, 13(4), Article 193. https://doi.org/10.3390/info13040193

The Internet and social networks are increasingly becoming a media of extremist propaganda. On homepages, in forums or chats, extremists spread their ideologies and world views, which are often contrary to the basic liberal democratic values of the E... Read More about Instruments and Tools to Identify Radical Textual Content.

An investigation of the role of leadership in consensus decision-making (2022)
Journal Article
Perret, C., & Powers, S. T. (2022). An investigation of the role of leadership in consensus decision-making. Journal of Theoretical Biology, 543, Article 111094. https://doi.org/10.1016/j.jtbi.2022.111094

Leadership is a widespread phenomena in social organisms and it is recognised to facilitate coordination between individuals. While the role of leadership in group foraging or swarm movement is well understood, it is not clear if leaders would also b... Read More about An investigation of the role of leadership in consensus decision-making.

Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning (2022)
Journal Article
Ferrag, M. A., Friha, O., Hamouda, D., Maglaras, L., & Janicke, H. (2022). Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning. IEEE Access, 10, 40281-40306. https://doi.or

In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset, which can be used by machine learning-based intrusion detection systems in two different modes, namely, centralized and... Read More about Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning.

A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map (2022)
Journal Article
Masood, F., Boulila, W., Alsaeedi, A., Khan, J. S., Ahmad, J., Khan, M. A., & Rehman, S. U. (2022). A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map. Multimedia Tools and Applications, 81, 30931-3095

In the existing literature, numerous chaos-based multimedia encryption schemes have been presented. Benefiting from inherent properties such as ergodicity and key-sensitivity; this can potentially improve non-linearity in encrypted data. This paper i... Read More about A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map.

Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries (2022)
Journal Article
Appleton, L., & Hall, H. (2022). Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries. Qualitative and Quantitative Methods in Libraries, 11(1), 83-92

A novel multi-location longitudinal focus group method was deployed as part of a doctoral study on the role of UK public libraries. This work was completed part-time at Edinburgh Napier University between 2013 and 2020. Over a period of three years,... Read More about Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries.

An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction (2022)
Journal Article
Rashid, J., Batool, S., Kim, J., Wasif Nisar, M., Hussain, A., Juneja, S., & Kushwaha, R. (2022). An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction. Frontiers in Public Health, 10, Article 860396. https://doi.org/10.3389/fpubh.

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has therefore become an important research area to enhance patient survival rates. Several research studies have reported classification approaches for specific di... Read More about An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction.

Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT (2022)
Journal Article
Wang, F., Yang, S., Wang, C., Li, Q., Babaagba, K., & Tan, Z. (2022). Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT. International Journal of Intelligent Systems, 37(10), 7058-7078. https://doi.org/10.1002/int.22871

Internet of Things (IoT) is fast growing. Non-PC devices under the umbrella of IoT have been increasingly applied in various fields and will soon account for a significant share of total Internet traffic. However, the security and privacy of IoT and... Read More about Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT.

Computational Thinking and User Interfaces: A Systematic Review (2022)
Journal Article
Rijo-Garcia, S., Segredo, E., & Leon, C. (2022). Computational Thinking and User Interfaces: A Systematic Review. IEEE Transactions on Education, 65(4), 647-656. https://doi.org/10.1109/te.2022.3159765

Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computat... Read More about Computational Thinking and User Interfaces: A Systematic Review.

A federated learning framework for cyberattack detection in vehicular sensor networks (2022)
Journal Article
Driss, M., Almomani, I., e Huma, Z., & Ahmad, J. (2022). A federated learning framework for cyberattack detection in vehicular sensor networks. Complex and Intelligent Systems, 8(5), 4221-4235. https://doi.org/10.1007/s40747-022-00705-w

Vehicular Sensor Networks (VSN) introduced a new paradigm for modern transportation systems by improving traffic management and comfort. However, the increasing adoption of smart sensing technologies with the Internet of Things (IoT) made VSN a high-... Read More about A federated learning framework for cyberattack detection in vehicular sensor networks.

A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation (2022)
Journal Article
Yao, K., Su, Z., Huang, K., Yang, X., Sun, J., Hussain, A., & Coenen, F. (2022). A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation. IEEE Journal of Biomedical and Health Informatics, 26(10), 4976-4986. https

We consider the problem of volumetric (3D) unsupervised domain adaptation (UDA) in cross-modality medical image segmentation, aiming to perform segmentation on the unannotated target domain (e.g. MRI) with the help of labeled source domain (e.g. CT).... Read More about A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation.

Design and Evaluation of a Button Sensor Antenna for On-Body Monitoring Activity in Healthcare Applications (2022)
Journal Article
Ali, S. M., Sovuthy, C., Noghanian, S., Saeidi, T., Majeed, M. F., Hussain, A., …Abbasi, Q. H. (2022). Design and Evaluation of a Button Sensor Antenna for On-Body Monitoring Activity in Healthcare Applications. Micromachines, 13(3), Article 475. https:

A button sensor antenna for on-body monitoring in wireless body area network (WBAN) systems is presented. Due to the close coupling between the sensor antenna and the human body, it is highly challenging to design sensor antenna devices. In this pape... Read More about Design and Evaluation of a Button Sensor Antenna for On-Body Monitoring Activity in Healthcare Applications.

A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique (2022)
Journal Article
Khan, M. A., Ahmed, F., Khan, M. D., Ahmad, J., Kumar, H., & Pitropakis, N. (2022). A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique. Electronics, 11(6), Article 955. https://doi.org/10.3390/electronics11060955

This work is focused on the development of a smart and automatic inspection system for printed labels. This is a challenging problem to solve since the collected labels are typically subjected to a variety of geometric and non-geometric distortions.... Read More about A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique.

A Novel Nomad Migration-Inspired Algorithm for Global Optimization (2022)
Journal Article
Lin, N., Fu, L., Zhao, L., Hawbani, A., Tan, Z., Al-Dubai, A., & Min, G. (2022). A Novel Nomad Migration-Inspired Algorithm for Global Optimization. Computers and Electrical Engineering, 100, Article 107862. https://doi.org/10.1016/j.compeleceng.2022.1078

Nature-inspired computing (NIC) has been widely studied for many optimization scenarios. However, miscellaneous solution space of real-world problem causes it is challenging to guarantee the global optimum. Besides, cumbersome structure and complex p... Read More about A Novel Nomad Migration-Inspired Algorithm for Global Optimization.

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture (2022)
Journal Article
Lo, O., Buchanan, W., Sayeed, S., Papadopoulos, P., Pitropakis, N., & Chrysoulas, C. (2022). GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors, 22(6), Article 2291. https://doi.org/10.3390/s22062291

E-governance is a process that aims to enhance a government’s ability to simplify all the processes that may involve government, citizens, businesses, and so on. The rapid evolution of digital technologies has often created the necessity for the esta... Read More about GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture.

Burdens of Proposing: On the Burden of Proof in Deliberation Dialogues (2022)
Journal Article
Godden, D., & Wells, S. (2022). Burdens of Proposing: On the Burden of Proof in Deliberation Dialogues. Informal Logic, 42(1), 291-342. https://doi.org/10.22329/il.v42i1.7225

This paper considers the probative burdens of proposing action or policy options in deliberation dialogues. Do proposers bear a burden of proof? Building on pioneering work by Douglas Walton (2010), and following on a growing literature within comput... Read More about Burdens of Proposing: On the Burden of Proof in Deliberation Dialogues.

FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things (2022)
Journal Article
Friha, O., Ferrag, M. A., Shu, L., Maglaras, L., Choo, K. R., & Nafaa, M. (2022). FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things. Journal of Parallel and Distributed Computing, 165, 17-31. https://doi.org/1

In this paper, we propose a federated learning-based intrusion detection system, named FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects data privacy through local learning, where devices benefit from the... Read More about FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things.

Antimicrobial Resistance and Machine Learning: Challenges and Opportunities (2022)
Journal Article
Elyan, E., Hussain, A., Sheikh, A., Elmanama, A. A., Vuttipittayamongkol, P., & Hijazi, K. (2022). Antimicrobial Resistance and Machine Learning: Challenges and Opportunities. IEEE Access, 10, 31561-31577. https://doi.org/10.1109/access.2022.3160213

Antimicrobial Resistance (AMR) has been identified by the World Health Organisation (WHO) as one of the top ten global health threats. Inappropriate use of antibiotics around the world and in particular in Low-to-Middle-Income Countries (LMICs), wher... Read More about Antimicrobial Resistance and Machine Learning: Challenges and Opportunities.

Remote Desktop Software as a Forensic Resource (2022)
Journal Article
Manson, J. (2022). Remote Desktop Software as a Forensic Resource. Journal of Cyber Security Technology, 6(1-2), 1-26. https://doi.org/10.1080/23742917.2022.2049560

Remote Desktop Software (RDS) enables the controlling of a computer system without the need for physical access. Operations are sent to the remote machine and executed as if performed by a local user. With an unprecedented shift to remote working due... Read More about Remote Desktop Software as a Forensic Resource.

SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks (2022)
Journal Article
Farooq, M., Wang, X., Hawbani, A., Zhao, L., Al-Dubai, A., & Busaileh, O. (2023). SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 22(8), 4912-4929. https://doi.org/10.1109/TMC.2022.3

In wireless sensor networks (WSNs), it is inappropriate to use conventional unicast routing due to the broadcast storm problem and spatial diversity of communication links. Opportunistic Routing (OR) benefits the low duty-cycled WSNs by prioritizing... Read More about SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks.