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All Outputs (1384)

A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things (2023)
Presentation / Conference Contribution
Momand, A., Jan, S. U., & Ramzan, N. (2024). A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things. In Intelligent Systems and Pattern Recognition: Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11–13, 2

The Internet of Things (IoT) is the connection of smart devices and objects to the internet, allowing them to share and analyze data, communicate with each other, and be controlled remotely. Several IoT devices are designed to collect, process, and s... Read More about A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things.

Optimal controller selection and migration in large scale software defined networks for next generation internet of things (2023)
Journal Article
Shahzad, M., Liu, L., Belkout, N., & Antonopoulos, N. (2023). Optimal controller selection and migration in large scale software defined networks for next generation internet of things. SN Applied Sciences, 5(12), Article 309. https://doi.org/10.1007/s424

The substantial amount of IoT traffic, coupled with control messages, places a heavy burden on SDN controllers, which compromises their capacity. We investigate how SDN can revolutionize the conventional approach, aiming to overcome the limitations o... Read More about Optimal controller selection and migration in large scale software defined networks for next generation internet of things.

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions (2023)
Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024). Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-1

ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting... Read More about Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.

Developing a new scale for measuring sustainability-oriented innovation (2023)
Journal Article
Baxter, D., & Chipulu, M. (2023). Developing a new scale for measuring sustainability-oriented innovation. Journal of Cleaner Production, 429, Article 139590. https://doi.org/10.1016/j.jclepro.2023.139590

Sustainability-oriented innovation is a developing area in the academic literature, and existing measurement models are either lacking in scope or they have not been validated. Following an extensive review of existing academic literature, this paper... Read More about Developing a new scale for measuring sustainability-oriented innovation.

Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction (2023)
Journal Article
Aziz, A., Hossain, M. A., Chy, A. N., Ullah, M. Z., & Aono, M. (2023). Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction. Natural Language Processing Journal, 5, Article 100039. https://doi.org/10.1016/j.n

Lexical complexity prediction (LCP) determines the complexity level of words or phrases in a sentence. LCP has a significant impact on the enhancement of language translations, readability assessment, and text generation. However, the domain-specific... Read More about Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction.

Group Career Coaching (2023)
Presentation / Conference Contribution
Meldrum, S. (2023, November). Group Career Coaching. Presented at CDI Scotland Members Meeting, Online

This short taster session will explore group career coaching as an approach to practice delivery. It will define what it involves, consider its benefits (such as peer learning and support) and how to overcome some of its limitations (such as lack of... Read More about Group Career Coaching.

A spectrum of geoscience communication: from dissemination to participation (2023)
Journal Article
Illingworth, S. (2023). A spectrum of geoscience communication: from dissemination to participation. Geoscience Communication, 6(4), 131-139. https://doi.org/10.5194/gc-6-131-2023

This review article is a written contribution to accompany the 2023 Katia and Maurice Krafft Award from the European Geosciences Union. Through a consideration of my own practice and that of the wider literature, I explore how creative approaches (pr... Read More about A spectrum of geoscience communication: from dissemination to participation.

AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks (2023)
Journal Article
Ali, S., Tan, S. C., Lee, C. K., Yusoff, Z., Haque, M. R., Mylonas, A., & Pitropakis, N. (2023). AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks. Sensors, 23(21), Article 89

Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a controller as its “network brain” located at the control plane. This uniquely distinguishes it from the traditional networking paradigms because it provides a g... Read More about AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks.

The International Grief Questionnaire (IGQ): A new measure of ICD‐11 prolonged grief disorder (2023)
Journal Article
Hyland, P., Redican, E., Karatzias, T., & Shevlin, M. (2024). The International Grief Questionnaire (IGQ): A new measure of ICD‐11 prolonged grief disorder. Journal of Traumatic Stress, 37(1), 141-153. https://doi.org/10.1002/jts.22986

Prolonged grief disorder (PGD) is included in the 11th version of the International Statistical Classification of Diseases and Related Health Problems (ICD‐11). This study sought to test the validity and reliability of a new brief measure to screen f... Read More about The International Grief Questionnaire (IGQ): A new measure of ICD‐11 prolonged grief disorder.

Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities (2023)
Journal Article
Tallat,, R., Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Liu, Z., Min, G., Zomaya, A., & Alsamhi, S. (online). Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities. Communications Surveys and Tutorials,

This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human intervention, resulting in the fourth industrial revolution, Industry 4.0. T... Read More about Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities.

Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices (2023)
Presentation / Conference Contribution
Zang, Z., Dolinsky, U., Ghiglio, P., Cherubin, S., Goli, M., & Yang, S. (2023, September). Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices. Presented at FPL 2023: 33rd International Conference on Field-Progr

Multi-Level Intermediate Representation (MLIR) is gaining increasing attention in reconfigurable hardware communities due to its capability to represent various abstract levels for software compilers. This project aims to be the first to provide an e... Read More about Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices.

Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database (2023)
Journal Article
Toma, T. A., Biswas, S., Miah, M. S., Alibakhshikenari, M., Virdee, B. S., Fernando, S., …Livreri, P. (2023). Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database. Radio Science, 58(11)

Presented here are the results of an investigation conducted to determine the effectiveness of deep learning (DL)‐based systems utilizing the power of transfer learning for detecting breast cancer in histopathological images. It is shown that DL mode... Read More about Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database.

Metamaterial Based Sensor Using Fractal Hilbert Structure for Liquid Characterization (2023)
Presentation / Conference Contribution
AbdulSattar, R. K., Alibakhshikenari, M., Elwi, T. A., Kouhalvandi, L., Hassain, Z. A. A., Virdee, B. S., …Limiti, E. (2023). Metamaterial Based Sensor Using Fractal Hilbert Structure for Liquid Characterization. In 2023 International Conference on Ele

In this work, a simple and efficient approach is presented to design a metamaterial based sensitive sensor for liquid characterization. The proposed sensor based on the Hilbert structure has a compacted size of 40×60×1.6mm3. The Hilbert curve is used... Read More about Metamaterial Based Sensor Using Fractal Hilbert Structure for Liquid Characterization.

Nothing but symbolic: Chinese new authoritarianism, smart government, and the challenge of multi-level governance (2023)
Journal Article
Zhang, J., & Mora, L. (2023). Nothing but symbolic: Chinese new authoritarianism, smart government, and the challenge of multi-level governance. Government Information Quarterly, 40(4), Article 101880. https://doi.org/10.1016/j.giq.2023.101880

This study investigates the impact of Chinese new authoritarian principles on the approach to multi-level governance that China has implemented during the national transition to smart government. Employing a case study analysis, we illustrate the phe... Read More about Nothing but symbolic: Chinese new authoritarianism, smart government, and the challenge of multi-level governance.

Preventing harm and the public interest –a zemiological perspective (2023)
Presentation / Conference Contribution
Dinesson, K., & Soliman, F. (2023, October). Preventing harm and the public interest –a zemiological perspective. Paper presented at Countering terrorism and violent extremism in the public interest workshop, The Hague, Netherlands

Over the past two decades, counterterrorism in the UK and beyond has been characterised by contentious legal and social developments. One such development has been a marked preventative turn in criminal law, exemplified in the UK by the bringing into... Read More about Preventing harm and the public interest –a zemiological perspective.

Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety (2023)
Presentation / Conference Contribution
Charissis, V. (2023, December). Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety. Presented at 30th International Display Workshop, Niigata, Japan

This project investigates the use of an AI codriver that could support the driver's decision-making process. The information is presented through AR HUD and audio. The evaluation by 20 users in a VR driving simulator presented both encouraging outcom... Read More about Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety.

Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review (2023)
Journal Article
Lam, E. W., Chan, A. P., Olawumi, T. O., Wong, I., & Kazeem, K. O. (2024). Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review. Smart and Sustainable Built Environment, 13(2), 425-443. https://doi.o

Purpose Sustainability has been the subject of several scientific investigations. Many researchers in the construction industry have also examined a range of sustainability-related studies. However, few studies have thoroughly reviewed implementing... Read More about Sustainability concepts in global high-rise residential buildings: a scientometric and systematic review.