All Outputs (121)

User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum (2019)
Journal Article
Hammady, R., Strathearn, C., & Ma, M. (2019). User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum. International Journal of Technology Marketing, 13(3-4), 354-375. https://doi.org/10.1504/ijtmkt.2019.10025609

In recent years, the applications of mixed reality (MR) processing have become highly apparent in academia and the manufacturing industry with the release of innovative technologies such as the Microsoft HoloLens. However, crucial design issues with... Read More about User Experience Design for Mixed Reality: A Case Study of HoloLens in Museum.

Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction (2019)
Journal Article
Lowe, I., Buchanan, W. J., Macfarlane, R., & Lo, O. (2019). Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction. Journal of Networking Technology, 10(4), 124-155. https://doi.org/10.6025/jnt/20

Bluetooth is a short-range wireless technology that provides audio and data links between personal smartphones and playback devices, such as speakers, headsets and car entertainment systems. Since its introduction in 2001, security researchers have s... Read More about Wi-Fi Channel Saturation as a Mechanism to Improve Passive Capture of Bluetooth Through Channel Usage Restriction.

An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia (2019)
Journal Article
Alshehri, A., Rutter, M. J., & Smith, S. (2019). An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia. International Journal of Distance Educati

The rapid growth of e-learning around the globe is inspiring various academic institutions to adopt it. Uptake is motivated by convincing benefits such as flexibility, accessibility and the management of course delivery and educational materials. In... Read More about An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems: A Study Within Tertiary Institutions in Saudi Arabia.

Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education (2019)
Journal Article
Binyamin, S., Rutter, M., & Smith, S. (2019). Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education. International Journal of Emerging Technologies in Learning, 14(3), 4-21. https:

Although learning management systems (LMS) have been widely adopted by higher educational institutions in many countries, they are considered an emerging technology in Saudi Arabia. Furthermore, research has demonstrated that the students’ use of the... Read More about Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education.

A Review on Deep Learning Approaches to Image Classification and Object Segmentation (2019)
Journal Article
Wu, H., Liu, Q., & Liu, X. (2019). A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595

Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Present proposed artificial neural networks and optimization skills have effe... Read More about A Review on Deep Learning Approaches to Image Classification and Object Segmentation.

A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution (2019)
Journal Article
Segredo, E., Lalla-Ruiz, E., Hart, E., & Voß, S. (2020). A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution. Computers and Operations Research, 117, Article 104871. https://doi.org/10.10

The success of search-based optimisation algorithms depends on appropriately balancing exploration and exploitation mechanisms during the course of the search. We introduce a mechanism that can be used with Differential Evolution (de) algorithms to a... Read More about A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution.

PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing (2019)
Journal Article
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2020). PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066

Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier detection is to construct a neighbour-list for each object. It is used for... Read More about PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing.

Putting design into practice: An investigation of TPACK scores of lecturers in a networked institution (2019)
Journal Article
Fabian, K., Clayes, E., & Kelly, L. (2019). Putting design into practice: An investigation of TPACK scores of lecturers in a networked institution. Research in Learning Technology, 27, https://doi.org/10.25304/rlt.v27.2296

Demand for blended and online learning environments is increasing and concurrent with this is the changing competencies required for teachers to be able to facilitate learning in both face-to-face and virtual space. The Technological Pedagogical Cont... Read More about Putting design into practice: An investigation of TPACK scores of lecturers in a networked institution.

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia (2019)
Journal Article
Ieracitano, C., Mammone, N., Hussain, A., & Morabito, F. C. (2020). A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. Neural Networks, 123, 176-190. https://doi.org/10.1016/j.neunet.2019.12.006

Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are useful for clinical inspection of patients and in biomedical smart Internet-of-Things (IoT) and Brain-Computer Interface (BCI) applications. From a signal... Read More about A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.

PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model (2019)
Journal Article
Chen, K., Wang, G., Wu, L., Chen, J., Yuan, S., Liu, Q., & Liu, X. (2019). PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. International Journal of Environmental Research and Public

At present particulate matter (PM₂.₅) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes the whitening coefficient in a grey Markov model by a genetic algorithm, predicts the con... Read More about PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model.

Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT (2019)
Journal Article
Li, S., Yuan, Y., Zhang, J. J., Buchanan, B., Liu, E., & Ramadoss, R. (2019). Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT. IEEE Transactions on Computational Social Systems, 6(6), 1369-1372. https://doi.org/10.11

The Internet of Things (IoT) is expected to connect a massive number of smart devices to the Internet. The existing centralized architecture for handling the huge volume of data created in the IoT is facing many research challenges, including securit... Read More about Guest Editorial Special Issue on Blockchain-Based Secure and Trusted Computing for IoT.

Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication (2019)
Journal Article
Hawbani, A., Torbosh, E., Wang, X., Sincak, P., Zhao, L., & Al-Dubai, A. (2021). Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication. IEEE Transactions on Fuzzy Systems, 29(3), 612-626. https://doi.org/10.1109/tfuzz.2019.2957254

This paper modeled the multihop data-routing in Vehicular Ad-hoc Networks(VANET) as Multiple Criteria Decision Making (MCDM) in four steps. First, the criteria which have an impact on the performance of the network layer are captured and transformed... Read More about Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication.

A Novel Trust Evaluation Process for Secure Localization using a Decentralized Blockchain in Wireless Sensor Networks (2019)
Journal Article
Kim, T., Goyat, R., Rai, M. K., Kumar, G., Buchanan, W. J., Saha, R., & Thomas, R. (2019). A Novel Trust Evaluation Process for Secure Localization using a Decentralized Blockchain in Wireless Sensor Networks. IEEE Access, 7, 184133-184144. https://doi.or

In this research paper, blockchain-based trust management model is proposed to enhance trust relationship among beacon nodes and to eradicate malicious nodes in Wireless Sensor Networks (WSNs). This composite trust evaluation involves behavioral-base... Read More about A Novel Trust Evaluation Process for Secure Localization using a Decentralized Blockchain in Wireless Sensor Networks.

WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson's Leveraging 5G Spectrum with Deep Learning (2019)
Journal Article
Tahir, A., Ahmad, J., Shah, S. A., Morison, G., Skelton, D. A., Larijani, H., …Gibson, R. M. (2019). WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson's Leveraging 5G Spectrum with Deep Learning. Electronics, 8(12), https:

Freezing of Gait (FOG) is an episodic absence of forward movement in Parkinson's Disease (PD) patients and represents an onset of disabilities. FOG hinders daily activities and increases fall risk. There is high demand for automating the process of F... Read More about WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson's Leveraging 5G Spectrum with Deep Learning.

A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life (2019)
Journal Article
Abdur Rahman, M., Rashid, M. M., Le Kernec, J., Philippe, B., Barnes, S. J., Fioranelli, F., …Imran, M. (2019). A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors, 19(23), Article 5258. https://doi.org/10.

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a... Read More about A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life.

Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs (2019)
Journal Article
Alsarhan, A., Kilani, Y., Al-Dubai, A., Zomaya, A. Y., & Hussain, A. (2020). Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs. IEEE Transactions on Vehicular Technology, 69(2), 1568-1581. https://doi.org/10.1109/TVT.2019.2956228

Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scalability, frequent topology changes, scarcity of spectrum resources, maintain... Read More about Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs.

MRC4: A Modified RC4 Algorithm using Symmetric Random Function Generator for Improved Cryptographic Features (2019)
Journal Article
Saha, R., Geetha, G., Kumar, G., Kim, T., & Buchanan, W. J. (2019). MRC4: A Modified RC4 Algorithm using Symmetric Random Function Generator for Improved Cryptographic Features. IEEE Access, 7, 172045-172054. https://doi.org/10.1109/access.2019.2956160

The Rivest Cipher 4 (RC4) has been one of the most popular stream ciphers for providing symmetric key encryption, and is now proposed as an efficient cipher within light-weight cryptography. As an algorithm it has been considered to be one of the fas... Read More about MRC4: A Modified RC4 Algorithm using Symmetric Random Function Generator for Improved Cryptographic Features.

Networking as an information behaviour during job search: an study of active jobseekers in the Scottish youth labour market (2019)
Journal Article
Mowbray, J., & Hall, H. (2020). Networking as an information behaviour during job search: an study of active jobseekers in the Scottish youth labour market. Journal of Documentation, 76(2), 424-439. https://doi.org/10.1108/JD-05-2019-0086

Purpose - Although social networks are considered influential to employment outcomes, little is known about the behavioural manifestation of networking during job search. To address this, the study presented here examined the role of networking among... Read More about Networking as an information behaviour during job search: an study of active jobseekers in the Scottish youth labour market.

Teaching the process of building an Intrusion Detection System using data from a small-scale SCADA testbed (2019)
Journal Article
Maglaras, L., Cruz, T., Ferrag, M. A., & Janicke, H. (2020). Teaching the process of building an Intrusion Detection System using data from a small-scale SCADA testbed. Internet Technology Letters, 3(1), Article e132. https://doi.org/10.1002/itl2.132

Security of Critical National Infrastructures (CNI) is one of the major concerns to countries both in a European and in a worldwide level. Training on scenarios that involve such systems is important to the effective handling of incidents. Experienti... Read More about Teaching the process of building an Intrusion Detection System using data from a small-scale SCADA testbed.

Estimating the Relative Speed of RF Jammers in VANETs (2019)
Journal Article
Kosmanos, D., Argyriou, A., & Maglaras, L. (2019). Estimating the Relative Speed of RF Jammers in VANETs. Security and Communication Networks, 2019, Article 2064348. https://doi.org/10.1155/2019/2064348

Vehicular Ad Hoc Networks (VANETs) aim at enhancing road safety and providing a comfortable driving environment by delivering early warning and infotainment messages to the drivers. Jamming attacks, however, pose a significant threat to their perform... Read More about Estimating the Relative Speed of RF Jammers in VANETs.