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All Outputs (631)

Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT (2021)
Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021). Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. https://doi.org/10.3390/jcp1020014

As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven Internet of Things market where security is an afterthought. Traditional defe... Read More about Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT.

Implementation of Blockchain Consensus Algorithm on Embedded Architecture (2021)
Journal Article
Kerrouche, A., Frikha, T., Chaabane, F., Aouint, N., Cheikhrouhou, O., & Ben Amor, N. (2021). Implementation of Blockchain Consensus Algorithm on Embedded Architecture. Security and Communication Networks, 2021, Article 9918697. https://doi.org/10.1155/2021/9918697

The adoption of Internet of Things (IoT) technology across many applications, such as autonomous systems, communication, and healthcare, is driving the market’s growth at a positive rate. The emergence of advanced data analytics techniques such as bl... Read More about Implementation of Blockchain Consensus Algorithm on Embedded Architecture.

Whole-life embodied carbon in multi-storey buildings: steel, concrete and timber structures (2021)
Journal Article
Hart, J., D'Amico, B., & Pomponi, F. (2021). Whole-life embodied carbon in multi-storey buildings: steel, concrete and timber structures. Journal of Industrial Ecology, 25(2), 403-418. https://doi.org/10.1111/jiec.13139

Buildings and the construction industry are top contributors to climate change, and structures account for the largest share of the upfront greenhouse gas emissions. Whilst a body of research exists into such emissions, a systematic comparison of mul... Read More about Whole-life embodied carbon in multi-storey buildings: steel, concrete and timber structures.

A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI images (2021)
Journal Article
Masood, M., Nazir, T., Nawaz, M., Mehmood, A., Rashid, J., Kwon, H., Mahmood, T., & Hussain, A. (2021). A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI images. Diagnostics, 11(5), Article 744. https://doi.org/10.3390/diagnostics11050744

A brain tumor is an abnormal growth in brain cells that causes damage to various blood vessels and nerves in the human body. An earlier and accurate diagnosis of the brain tumor is of foremost important to avoid future complications. Precise segmenta... Read More about A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI images.

FLORA: Fuzzy Based Load-Balanced Opportunistic Routing for Asynchronous Duty-Cycled WSNs (2021)
Journal Article
Wu, W., Wang, X., Hawbani, A., Liu, P., Zhao, L., & Al-Dubai, A. (2023). FLORA: Fuzzy Based Load-Balanced Opportunistic Routing for Asynchronous Duty-Cycled WSNs. IEEE Transactions on Mobile Computing, 22(1), 253-268. https://doi.org/10.1109/TMC.2021.3074739

Existing Opportunistic routing (OR) schemes work well with asynchronous duty-cycled wireless sensor networks (WSNs), which effectively reduces the sender waiting time by broadcasting packets to a set of forwarders instead of a predetermined forwarder... Read More about FLORA: Fuzzy Based Load-Balanced Opportunistic Routing for Asynchronous Duty-Cycled WSNs.

Impact of COVID-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland (2021)
Report
Downey, L., Fonzone, A., Fountas, G., & Semple, T. Impact of COVID-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland. Scottish Funding Council

COVID-19 was declared a pandemic by the World Health Organisation (WHO) on 21st March 2020 and on 24th March 2020, the UK and Scottish Governments imposed a ‘lockdown’, restricting everyday life activities to only the most essential. These Government... Read More about Impact of COVID-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland.

A novel automated louver with parametrically-angled reflective slats; design evaluation for better practicality and daylighting uniformity (2021)
Journal Article
Eltaweel, A., Su, Y., Mandour, M. A., & Elrawy, O. O. (2021). A novel automated louver with parametrically-angled reflective slats; design evaluation for better practicality and daylighting uniformity. Journal of Building Engineering, 42, Article 102438. https://doi.org/10.1016/j.jobe.2021.102438

Daylighting harvest systems have been improved in recent decades. They have been dramatically used in green buildings to achieve a more sustainable living environment. However, their cost, sizes, shapes, materials, accuracy and control methods are co... Read More about A novel automated louver with parametrically-angled reflective slats; design evaluation for better practicality and daylighting uniformity.

Improving generative adversarial networks with simple latent distributions (2021)
Journal Article
Zhang, S., Huang, K., Qian, Z., Zhang, R., & Hussain, A. (2021). Improving generative adversarial networks with simple latent distributions. Neural Computing and Applications, 33, 13193-13203. https://doi.org/10.1007/s00521-021-05946-3

Generative Adversarial Networks (GANs) have drawn great attention recently since they are the powerful models to generate high-quality images. Although GANs have achieved great success, they usually suffer from unstable training and consequently may... Read More about Improving generative adversarial networks with simple latent distributions.

Topology optimization of multi-material structures with elastoplastic strain hardening model (2021)
Journal Article
Li, M., Deng, Y., Zhang, H., Wong, S. H. F., Mohamed, A., Zheng, Y., Gao, J., Yuen, T. Y. P., Dong, B., & Kuang, J. S. (2021). Topology optimization of multi-material structures with elastoplastic strain hardening model. Structural and Multidisciplinary Optimization, 64, 1141-1160. https://doi.org/10.1007/s00158-021-02905-3

The paper presents a new multi-material topology optimization method with novel adjoint sensitivity analysis that can accommodate not only multiple plasticity but also multiple hardening models for individual materials in composite structures. Based... Read More about Topology optimization of multi-material structures with elastoplastic strain hardening model.

A Comprehensive Review on the Application of Bioethanol/Biodiesel in Direct Injection Engines and Consequential Environmental Impact (2021)
Journal Article
Siddique, M. B. M., Khairuddin, N., Ali, N. A., Hassan, M. A., Ahmed, J., Kasem, S., Tabassum, M., & Afrouzi, H. N. (2021). A Comprehensive Review on the Application of Bioethanol/Biodiesel in Direct Injection Engines and Consequential Environmental Impact. Cleaner Engineering and Technology, 3, https://doi.org/10.1016/j.clet.2021.100092

Bioethanol/biodiesel are deemed a highly suitable alternative to conventional fuels in the near future due to their versatility in production techniques and operability. This paper examines the engine performance and possible scope of improvement in... Read More about A Comprehensive Review on the Application of Bioethanol/Biodiesel in Direct Injection Engines and Consequential Environmental Impact.

Does semantics aid syntax? An empirical study on named entity recognition and classification (2021)
Journal Article
Zhong, X., Cambria, E., & Hussain, A. (2022). Does semantics aid syntax? An empirical study on named entity recognition and classification. Neural Computing and Applications, 34, 8373-8384. https://doi.org/10.1007/s00521-021-05949-0

Many researchers jointly model multiple linguistic tasks (e.g., joint modeling of named entity recognition and named entity classification and joint modeling of syntactic parsing and semantic parsing) with an implicit assumption that these individual... Read More about Does semantics aid syntax? An empirical study on named entity recognition and classification.

Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions (2021)
Presentation / Conference Contribution
Sajjad, U., Arshad, Ahmad, J., & Shoaib, S. (2021, January). Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions. Presented at 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), St. Petersburg, Moscow, Russia

Safe and reliable delivery of power through transmission lines mainly depends on the quality condition of the high voltage insulators. In the last few decades, demand in polymeric insulator has been dramatically increased due to their advanced perfor... Read More about Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions.

A novel tensor-information bottleneck method for multi-input single-output applications (2021)
Journal Article
Lu, L., Ren, X., Cui, C., Tan, Z., Wu, Y., & Qin, Z. (2021). A novel tensor-information bottleneck method for multi-input single-output applications. Computer Networks, 193, Article 108088. https://doi.org/10.1016/j.comnet.2021.108088

Ensuring timeliness and mobility for multimedia computing is a crucial task for wireless communication. Previous algorithms that utilize information channels, such as the information bottleneck method, have shown great performance and efficiency, whi... Read More about A novel tensor-information bottleneck method for multi-input single-output applications.

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games (2021)
Journal Article
Han, T. A., Perrett, C., & Powers, S. T. (2021). When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. Cognitive Systems Research, 68, Article 111-124. https://doi.org/10.1016/j.cogsys.2021.02.003

The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user. Consequently , users take the risk that such agents act in ways opposed to the users' preferences or goa... Read More about When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games.

A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things (2021)
Journal Article
Huma, Z. E., Latif, S., Ahmad, J., Idrees, Z., Ibrar, A., Zou, Z., Alqahtani, F., & Baothman, F. (2021). A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things. IEEE Access, 9, 55595-55605. https://doi.org/10.1109/access.2021.3071766

The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT) concepts in industrial sectors and applications. IIoT has several applications in smart homes, smart cities, smart grids, connected cars, and supply ch... Read More about A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things.

Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things (2021)
Journal Article
Medjek, F., Tandjaoui, D., Djedjig, N., & Romdhani, I. (2021). Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things. International Journal of Critical Infrastructure Protection, 34, Article 100436. https://doi.org/10.1016/j.ijcip.2021.100436

Internet of Things (IoT) has emerged as a key component of all advanced critical infrastructures. However, with the challenging nature of IoT, new security breaches have been introduced, especially against the Routing Protocol for Low-power and Lossy... Read More about Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things.

Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin (2021)
Journal Article
Mas’ud, A. A., Sundaram, A., Ardila-Rey, J. A., Schurch, R., Muhammad-Sukki, F., & Bani, N. A. (2021). Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin. Sensors, 21(7), Article 2562. https://doi.org/10.3390/s21072562

In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understan... Read More about Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin.

A Planar Dual-Polarized Phased Array With Broad Bandwidth and Quasi-Endfire Radiation for 5G Mobile Handsets (2021)
Journal Article
Parchin, N. O., Zhang, J., Abd-Alhameed, R. A., Pedersen, G. F., & Zhang, S. (2021). A Planar Dual-Polarized Phased Array With Broad Bandwidth and Quasi-Endfire Radiation for 5G Mobile Handsets. IEEE Transactions on Antennas and Propagation, 69(10), 6410-6419. https://doi.org/10.1109/tap.2021.3069501

A planar dual-polarized phased array is proposed for 5G cellular communications. The array has the properties of dual-polarization, wideband, and quasi-endfire radiation, which is printed on one side of a single-layer substrate. The design contains t... Read More about A Planar Dual-Polarized Phased Array With Broad Bandwidth and Quasi-Endfire Radiation for 5G Mobile Handsets.

Artificial intelligence--enabled analysis of public attitudes on facebook and twitter toward covid-19 vaccines in the united kingdom and the united states: Observational study (2021)
Journal Article
Hussain, A., Tahir, A., Hussain, Z., Sheikh, Z., Gogate, M., Dashtipour, K., Ali, A., & Sheikh, A. (2021). Artificial intelligence--enabled analysis of public attitudes on facebook and twitter toward covid-19 vaccines in the united kingdom and the united states: Observational study. Journal of Medical Internet Research, 23(4), Article e26627. https://doi.org/10.2196/26627

Background: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general... Read More about Artificial intelligence--enabled analysis of public attitudes on facebook and twitter toward covid-19 vaccines in the united kingdom and the united states: Observational study.