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Evaluation of live forensic techniques, towards Salsa20-Based cryptographic ransomware mitigation (2023)
Journal Article
Fernandez de Loaysa Babiano, L., Macfarlane, R., & Davies, S. R. (2023). Evaluation of live forensic techniques, towards Salsa20-Based cryptographic ransomware mitigation. Forensic Science International: Digital Investigation, 46, Article 301572. https://doi.org/10.1016/j.fsidi.2023.301572

Ransomware has been established as one of the largest current threats to organisations, small businesses, governments, and individuals alike. The appearance of cryptocurrencies and the enhancement of encryption key management schemes increased the ca... Read More about Evaluation of live forensic techniques, towards Salsa20-Based cryptographic ransomware mitigation.

Experimental investigation on thermomechanical properties and micro-machinability of carbon nanofibre reinforced epoxy nanocomposites (2023)
Journal Article
Le, B., Fu, G., Khaliq, J., Huo, D., & Shyha, I. (2023). Experimental investigation on thermomechanical properties and micro-machinability of carbon nanofibre reinforced epoxy nanocomposites. Journal of Manufacturing Processes, 99, 781-793. https://doi.org/10.1016/j.jmapro.2023.05.080

A comprehensive experimental investigation on thermomechanical properties and micro-machinability of carbon nanofibre reinforced epoxy nanocomposites (EP/CNF) is presented in this study. The machinability indicators including cutting force and surfac... Read More about Experimental investigation on thermomechanical properties and micro-machinability of carbon nanofibre reinforced epoxy nanocomposites.

A numerical framework for the simulation of coupled electromechanical growth (2023)
Journal Article
Li, Z., Kadapa, C., Hossain, M., & Wang, J. (2023). A numerical framework for the simulation of coupled electromechanical growth. Computer Methods in Applied Mechanics and Engineering, 414, Article 116128. https://doi.org/10.1016/j.cma.2023.116128

Electro-mechanical response exists in growing materials such as biological tissues and hydrogels, influencing the growth process, pattern formation and geometry remodelling. To gain a better understanding of the mechanism of the coupled effects of gr... Read More about A numerical framework for the simulation of coupled electromechanical growth.

Compact highly isolated dual-band 4-port MIMO antenna for sub-6 GHz applications Compact highly isolated dual-band 4-port MIMO antenna for sub-6 GHz applications (2023)
Journal Article
Salamin, M. A., Zugari, A., Alibakhshikenari, M., See, C. H., Abd-Alhameed, R., & Limiti, E. (2023). Compact highly isolated dual-band 4-port MIMO antenna for sub-6 GHz applications Compact highly isolated dual-band 4-port MIMO antenna for sub-6 GHz applications. Journal of Electromagnetic Waves and Applications, 37(10-12), 1023-1043. https://doi.org/10.1080/09205071.2023.2220145

In this work, a compact 4-element multiple-input multiple-output (MIMO) antenna system is presented for sub-6 GHz applications. A modified M-shaped strip is used to form each antenna element in the MIMO system. To improve performance, a rectangular-s... Read More about Compact highly isolated dual-band 4-port MIMO antenna for sub-6 GHz applications Compact highly isolated dual-band 4-port MIMO antenna for sub-6 GHz applications.

The practice of apprenticeships as work-integrated learning (2023)
Book Chapter
Smith, S., Taylor-Smith, E., Fabian, K., & Klotz, D. (2023). The practice of apprenticeships as work-integrated learning. In K. E. Zegwaard, & T. J. Pretti (Eds.), In The Routledge International Handbook of Work-Integrated Learning (207-217). (3rd Edition). Routledge. https://doi.org/10.4324/9781003156420

The term ‘apprentice’ is used to describe an employee who is learning in order to fulfill a future job role, with this learning largely encompassing on-the-job training and learning by doing (Fuller & Unwin, 1998). Conventionally, apprenticeships wer... Read More about The practice of apprenticeships as work-integrated learning.

Tahap Kesedaran Alam Sekitar Terhadap Kesihatan dan Kesejahteraan Masyarakat di Terengganu, Malaysia (2023)
Book Chapter
Azha, Y. Z., Kamarudin, M. K. A., Toriman, M. E., Azinuddin, M., Mohd Saudi, A. S., Hoe, L. I., Muhammad Sukki, F., Tun Ismail, W. N. A., & Awang Noh, N. (2023). Tahap Kesedaran Alam Sekitar Terhadap Kesihatan dan Kesejahteraan Masyarakat di Terengganu, Malaysia. In M. E. Toriman, M. K. A. Kamarudin, & M. A. Abu Samah (Eds.), Dinamika Alam Sekitar (123-138). UKM Press (Universiti Kebangsaan Malaysia Publisher)

Alam sekitar adalah aset utama bagi semua kehidupan di bumi, terutamanya dalam kehidupan seharian manusia untuk mencapai kefungsian sosial mereka. Masyarakat hendaklah bertanggungjawab untuk menjaga alam sekitar dengan baik demi menjamin kesejahteraa... Read More about Tahap Kesedaran Alam Sekitar Terhadap Kesihatan dan Kesejahteraan Masyarakat di Terengganu, Malaysia.

Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks (2023)
Journal Article
Duran, K., & Canberk, B. (2023). Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks. IEEE Transactions on Green Communications and Networking, 7(4), 1946 - 1956. https://doi.org/10.1109/tgcn.2023.3282326

Topology discovery is the key function of core network management since it utilizes the perception of data and mapping network devices. Nevertheless, it holds operational and resource efficiency complexities. For example, traditional discovery cannot... Read More about Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks.

Data-driven Event-triggered Bipartite Consensus for Multi-agent Systems Preventing DoS Attacks (2023)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Data-driven Event-triggered Bipartite Consensus for Multi-agent Systems Preventing DoS Attacks. IEEE Control Systems Letters, 7, 1915-1920. https://doi.org/10.1109/lcsys.2023.3281894

This paper considers event-triggered bipartite consensus issues for discrete-time nonlinear networked multi-agent systems with antagonistic interactions and denial-of-service (DoS) attacks. Firstly, a pseudo partial derivative technology is applied t... Read More about Data-driven Event-triggered Bipartite Consensus for Multi-agent Systems Preventing DoS Attacks.

Modelling of co-axial and tri-axial milli-fluidic devices for co-extrusion of semi-solid solids (2023)
Journal Article
Ali Al-Sharai, A., Fhong Soon, C., See, C. H., Yee, S. K., Tee, K. S., & Wahab, M. A. (2023). Modelling of co-axial and tri-axial milli-fluidic devices for co-extrusion of semi-solid solids. ASEAN Engineering Journal, 13(2), 93-100. https://doi.org/10.11113/aej.v13.18953

With the use of a milli-fluidics device, it is possible to manipulate small amounts of fluid in the millimeter range with pinpoint accuracy. The milli-fluidics are currently lacking in studies of the relationship between fluid viscosity, output veloc... Read More about Modelling of co-axial and tri-axial milli-fluidic devices for co-extrusion of semi-solid solids.

Dynamic Insulation Systems to Control Airborne Transmission of Viruses in Classrooms: A Review of 'Airhouse' Concept (2023)
Journal Article
Firrdhaus Mohd-Sahabuddin, M., Dahlan, A. S., Jamil, A. M., & Muhammad-Sukki, F. (2023). Dynamic Insulation Systems to Control Airborne Transmission of Viruses in Classrooms: A Review of 'Airhouse' Concept. Jurnal Kejuruteraan, 35(3), 567-576. https://doi.org/10.17576/jkukm-2023-35%283%29-04

The discovery of the Covid-19 virus in China at the end of 2019 has drastically altered the global landscape. The virus, which has now become a pandemic, has wrought devastation on the world, infecting over 500 million people and killing over 6 milli... Read More about Dynamic Insulation Systems to Control Airborne Transmission of Viruses in Classrooms: A Review of 'Airhouse' Concept.

Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes (2023)
Journal Article
Reid, A. (2023). Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes. Sustainability, 15(11), Article 8754. https://doi.org/10.3390/su15118754

Despite the commitment of the United Nations (UN) to provide everyone with equal access to basic services, the construction sector still fails to reach the production capacity and quality standards which are needed to meet the fast-growing demand for... Read More about Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes.

A real‐time lane detection network using two‐directional separation attention (2023)
Journal Article
Zhang, L., Jiang, F., Yang, J., Kong, B., & Hussain, A. (2023). A real‐time lane detection network using two‐directional separation attention. Computer-Aided Civil and Infrastructure Engineering, https://doi.org/10.1111/mice.13051

Real-time network by adopting attention mechanism is helpful for enhancing lane detection capability of autonomous vehicles. This paper proposes a real-time lane detection network (TSA-LNet) that incorporates a lightweight network (LNet) and a two-di... Read More about A real‐time lane detection network using two‐directional separation attention.

Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG (2023)
Journal Article
Shah, J., Chougule, A., Chamola, V., & Hussain, A. (2023). Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG. Neurocomputing, 549, Article 126387. https://doi.org/10.1016/j.neucom.2023.126387

The growing demand for semi-autonomous human–machine systems has led to an increased requirement for human fatigue detection. Direct and invasive approaches for microsleep detection include cognitive computing methods using Brain-Computer Interfaces... Read More about Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG.

A novel multimodal online news popularity prediction model based on ensemble learning (2023)
Journal Article
Arora, A., Hassija, V., Bansal, S., Yadav, S., Chamola, V., & Hussain, A. (2023). A novel multimodal online news popularity prediction model based on ensemble learning. Expert Systems, 40(8), Article e13336. https://doi.org/10.1111/exsy.13336

The prediction of news popularity is having substantial importance for the digital advertisement community in terms of selecting and engaging users. Traditional approaches are based on empirical data collected through surveys and applied statistical... Read More about A novel multimodal online news popularity prediction model based on ensemble learning.

A Novel Federated Learning Scheme for Generative Adversarial Networks (2023)
Journal Article
Zhang, J., Zhao, L., Yu, K., Min, G., Al-Dubai, A., & Zomya, A. (2024). A Novel Federated Learning Scheme for Generative Adversarial Networks. IEEE Transactions on Mobile Computing, 23(5), 3633-3649. https://doi.org/10.1109/tmc.2023.3278668

Generative adversarial networks (GANs) have been advancing and gaining tremendous interests from both academia and industry. With the development of wireless technologies, a huge amount of data generated at the network edge provides an unprecedented... Read More about A Novel Federated Learning Scheme for Generative Adversarial Networks.

Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing (2023)
Journal Article
Aslan, A., El-Raoui, H., Hanson, J., Vasantha, G., Quigley, J., Corney, J., & Sherlock, A. (2023). Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing. Sensors, 23(10), Article 4928. https://doi.org/10.3390/s23104928

This paper provides a novel methodology for human-driven decision support for capacity allocation in labour-intensive manufacturing systems. In such systems (where output depends solely on human labour) it is essential that any changes aimed at impro... Read More about Using Worker Position Data for Human-Driven Decision Support in Labour-Intensive Manufacturing.

Magnetic excitation spectrum and Hamiltonian of the quantum spin chain compound BaCuTe2O6 (2023)
Journal Article
Samartzis, A., Chillal, S., Jeschke, H. O., Voneshen, D. J., Lu, Z., Islam, A. T. M. N., & Lake, B. (2023). Magnetic excitation spectrum and Hamiltonian of the quantum spin chain compound BaCuTe2O6. Physical Review B, 107(18), https://doi.org/10.1103/physrevb.107.184435

Abstract

The magnetic excitation spectrum and Hamiltonian of the quantum magnet BaCuTe2O6 is studied by inelastic neutron scattering (INS) and density functional theory (DFT). INS on powder and single crystal samples reveals overlapping spinon con... Read More about Magnetic excitation spectrum and Hamiltonian of the quantum spin chain compound BaCuTe2O6.

Use of hydraulic radius to estimate the permeability of coarse-grained materials using a new geodatabase (2023)
Journal Article
Feng, S., Barreto, D., Imre, E., Ibraim, E., & Vardanega, P. J. (2023). Use of hydraulic radius to estimate the permeability of coarse-grained materials using a new geodatabase. Transportation Geotechnics, 41, Article 101026. https://doi.org/10.1016/j.trgeo.2023.101026

This paper reviews commonly used parameters and prediction models for assessing permeability of granular soils. Following a review of published models for prediction of soil permeability, a dimensional homogenous transformation model for a-priori est... Read More about Use of hydraulic radius to estimate the permeability of coarse-grained materials using a new geodatabase.