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All Outputs (4204)

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.

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.org/10.1109/access.2022.3165809

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.

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.

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, 30931-30959. https://doi.org/10.1007/s11042-022-12844-w

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.

New information literacy horizons: Making the case for career information literacy (2022)
Presentation / Conference Contribution
Milosheva, M., Hall, H., Robertson, P., & Cruickshank, P. (2021, September). New information literacy horizons: Making the case for career information literacy. Presented at European Conference on Information Literacy (ECIL) 2021, Bamberg, Germany [Online]

A literature review on the broad theme of information literacy and work was undertaken between January and April 2021 as part of an on-going doctoral study. The purpose of the literature review was to explore extant research on workplace information... Read More about New information literacy horizons: Making the case for career information literacy.

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.2022.860396

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.

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.

MienCap: Performance-based Facial Animation with Live Mood Dynamics (2022)
Presentation / Conference Contribution
Pan, Y., Zhang, R., Wang, J., Chen, N., Qiu, Y., Ding, Y., & Mitchell, K. (2022, March). MienCap: Performance-based Facial Animation with Live Mood Dynamics. Presented at 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Christchurch, New Zealand

Our purpose is to improve performance-based animation which can drive believable 3D stylized characters that are truly perceptual. By combining traditional blendshape animation techniques with machine learning models, we present a real time motion ca... Read More about MienCap: Performance-based Facial Animation with Live Mood Dynamics.

SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles (2022)
Presentation / Conference Contribution
Babaghayou, M., Labraoui, N., Ari, A. A. A., Lagraa, N., Ferrag, M. A., & Maglaras, L. (2021, November). SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles. Presented at CROWNCOM 2021, WiCON 2021, Online

The quick revolution on the wireless communication technologies had opened the gate towards promising implementations; Vehicular-Ad-hoc Networks (VANETs) and the safety-enhancing applications provided by the Internet of Vehicles (IoV) paradigm are on... Read More about SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles.

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 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://doi.org/10.1109/jbhi.2022.3162118

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.

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 Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment (2022)
Presentation / Conference Contribution
Lu, H., Kamoto, K. M., Liu, Q., Zhang, Y., Liu, X., Xu, X., & Qi, L. (2021, December). A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment. Presented at 11th EAI International Conference, CloudComp 2021, Online

It is of great significance to study the positive characteristics of concrete bearing cracks, fire and other adverse environment for the safety of human life and property and the protection of environmental resources. However, there are still some ch... Read More about A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment.

Enhancing Student Support in Higher Education: A Subject-Focused Approach (2022)
Book
Pilcher, N., & Richards, K. (2022). Enhancing Student Support in Higher Education: A Subject-Focused Approach. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-81724-4

This book is about supporting students in Higher Education using language, and specifically using a combination of written text based linguistic approaches alongside and with other non-text related languages. The authors call this a beyond-text subje... Read More about Enhancing Student Support in Higher Education: A Subject-Focused Approach.

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., Masood, F., Khan, S. M., Shah, S. 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://doi.org/10.3390/mi13030475

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.2022.107862

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.

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/10.1016/j.jpdc.2022.03.003

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.