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An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning (2022)
Journal Article
Wouda, N. A., Aslan, A., & Vis, I. F. (2023). An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning. Computers and Operations Research, 151, Article 106089. https://doi.org/10.1016/j.cor.2022.1

Personalised learning offers an alternative method to one-size-fits-all education in schools, and has seen increasing adoption over the past several years. Personalised learning’s focus on learner-driven education requires novel scheduling methods. I... Read More about An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning.

DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation (2022)
Journal Article
Li, J., Gao, G., Yang, L., Liu, Y., & Yu, H. (2022). DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation. Electronics, 11(22), Article 3810. https://doi.org/10.3390/electronics11223810

The deterioration of numerous eye diseases is highly related to the fundus retinal structures, so the automatic retinal vessel segmentation serves as an essential stage for efficient detection of eye-related lesions in clinical practice. Segmentation... Read More about DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation.

Long run productivity and profitability in the British bus industry (2022)
Journal Article
Cowie, J. (2023). Long run productivity and profitability in the British bus industry. Research in Transportation Business & Management, 46, Article 100911. https://doi.org/10.1016/j.rtbm.2022.100911

The passing of the Transport Act 1985 deregulated and privatised the bus industry in Great Britain outside of London, however failed to address the prime specified aim of reversing the long run decline in patronage. Review of the literature suggests... Read More about Long run productivity and profitability in the British bus industry.

From a network model to a model network: strategies for network development to narrow the LIS research–practice gap (2022)
Journal Article
Hall, H., Ryan, B. M., Salzano, R., & Stephen, K. (2023). From a network model to a model network: strategies for network development to narrow the LIS research–practice gap. Journal of Documentation, 79(3), 757-783. https://doi.org/10.1108/JD-04-2022-0

Purpose The purpose of the empirical study was to examine whether strategies shown to work well in one model of network development for library and information science (LIS) practitioners and researchers could be applied successfully in the developm... Read More about From a network model to a model network: strategies for network development to narrow the LIS research–practice gap.

Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study (2022)
Journal Article
Muneer, T., Gul, M. S., & Alam, M. (2022). Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study. Energies, 15(22), Article 8609. https://doi.org/10.3390/en15228609

With reference to energy generation, the global society has to urgently address three factors that are now critical: sustainability in terms of climate change, security in terms of the war that is currently raging in Europe with consequences that are... Read More about Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study.

Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications (2022)
Journal Article
Sun, D., Saw, L., Onyianta, A., 'rourke, Lu, Z., Wilson, C., See, C. H., Popescu, C., Dorris, M., & Shyha, I. (2022). Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications.

With the rapid development of wearable technology, flexible dielectric materials with environmental-friendly, low-cost and high-energy efficiency characteristics are in increasing demand. In this work, a flexible dielectric nanocomposite was develope... Read More about Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications.

The use of alternative building technologies as a sustainable affordable housing solution: perspectives from South Africa (2022)
Journal Article
Adetooto, J., Windapo, A., & Pomponi, F. (in press). The use of alternative building technologies as a sustainable affordable housing solution: perspectives from South Africa. Journal of Engineering, Design and Technology, https://doi.org/10.1108/jedt-05-

Purpose This study aims to evaluate the perception of the local experts and end users on the drivers, barriers and strategies to the use of alternative building technologies (ABTs), with a focus on sandbag building technologies (SBTs) in the provisi... Read More about The use of alternative building technologies as a sustainable affordable housing solution: perspectives from South Africa.

Circuit Modelling of Broadband Antenna Using Vector Fitting and Foster Form Approaches for IoT Applications (2022)
Journal Article
Ez-zaki, F., Belaid, K. A., Ahmad, S., Belahrach, H., Ghammaz, A., Al-Gburi, A. J. A., & Parachin, N. O. (2022). Circuit Modelling of Broadband Antenna Using Vector Fitting and Foster Form Approaches for IoT Applications. Electronics, 11(22), Article 3724

Computation of the broadband antenna impedance behavior requires the wideband lumped equivalent circuit. This work aims to provide a comprehensive study of broadband antenna equivalent circuit models over broad frequency ranges for Internet of Things... Read More about Circuit Modelling of Broadband Antenna Using Vector Fitting and Foster Form Approaches for IoT Applications.

Effects of Processing Strategies and La + Sm Co-Doping on the Thermoelectric Performance of A-Site-Deficient SrTiO3-δ Ceramics (2022)
Journal Article
Iyasara, A. C., Lu, Z., Schmidt, W. L., Sinclair, D. C., & Reaney, I. M. (2022). Effects of Processing Strategies and La + Sm Co-Doping on the Thermoelectric Performance of A-Site-Deficient SrTiO3-δ Ceramics. Crystals, 12(11), Article 1622. https://doi.o

The effect of calcining in either air (VSTO-A) or 5% H2/N2 (VSTO-H) on the thermoelectric performance of La and Sm co-doped A-site-deficient Sr1-3x/2Lax/2Smx/2TiO3-δ ceramics is reported. All calcined powders were sintered 6 h in 5% H2/N2 at 1773 K t... Read More about Effects of Processing Strategies and La + Sm Co-Doping on the Thermoelectric Performance of A-Site-Deficient SrTiO3-δ Ceramics.

Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things (2022)
Journal Article
Hasan, A., Khan, M. A., Shabir, B., Munir, A., Malik, A. W., Anwar, Z., & Ahmad, J. (2022). Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things. Applied Sciences, 12(22), Article 11442. https://doi.org/10.3390/app122211442

The internet of things (IoT) is prone to various types of denial of service (DoS) attacks due to their resource-constrained nature. Extensive research efforts have been dedicated to securing these systems, but various vulnerabilities remain. Notably,... Read More about Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things.

Q-learning driven routing for aeronautical Ad-Hoc networks (2022)
Journal Article
Bilen, T., & Canberk, B. (2022). Q-learning driven routing for aeronautical Ad-Hoc networks. Pervasive and Mobile Computing, 87, Article 101724. https://doi.org/10.1016/j.pmcj.2022.101724

The aeronautical ad-hoc network (AANET) is one of the critical methodologies to satisfy the Internet connectivity requirement of airplanes during their flights. However, the ultra-dynamic topology and unstable air-to-air link characteristics increase... Read More about Q-learning driven routing for aeronautical Ad-Hoc networks.

Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study (2022)
Journal Article
Lin, H., Chan, C., Wiratama, B. S., Chen, P., Wang, M., Chao, C., …Pai, C. (2022). Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study. BMC Public Health, 22(1), Article 2059. https://

Background: Most studies have focused on injuries sustained by intoxicated drivers themselves, but few have examined the effect of drunk driving on injury outcomes among VRUs (vulnerable road users) in developing countries. This study aims to evaluat... Read More about Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study.

Real-Time Vibration Measurement and Inverse Analysis for Dynamic Properties of an Axisymmetric Masonry Structure (2022)
Journal Article
Buachart, C., Hansapinyo, C., Tantisukumal, N., Miyamoto, M., Matsushima, M., Limkatanyu, S., …Zhang, H. (2023). Real-Time Vibration Measurement and Inverse Analysis for Dynamic Properties of an Axisymmetric Masonry Structure. Journal of Asian Architect

Historic buildings are public symbols, standing as a sacred reminders. Many of them have been recognized as World Heritage Sites. In this study, real-time vibration measurement of an im-portant axisymmetric masonry pagoda was performed. With the meas... Read More about Real-Time Vibration Measurement and Inverse Analysis for Dynamic Properties of an Axisymmetric Masonry Structure.

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring (2022)
Journal Article
Ghadi, Y. Y., Alsuhibany, S. A., Ahmad, J., Kumar, H., Boulila, W., Alsaedi, M., …Bhatti, S. A. (2022). Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring. Journal of Healthcare Engineering, 2022, Article 7745132.

With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, especially Wi-Fi hotspot, pose s... Read More about Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

A Proposal of a New Chaotic Map for Application in the Image Encryption Domain (2022)
Journal Article
Abu-Amara, F., & Ahmad, J. (2023). A Proposal of a New Chaotic Map for Application in the Image Encryption Domain. Journal of Information and Knowledge Management, 22(2), Article 2250088. https://doi.org/10.1142/s0219649222500885

Several chaos-based image encryption schemes have been proposed in the last decade. Each encryption scheme has pros and cons regarding its speed, complexity, and security. This paper proposes a new chaotic map called Power-Chaotic Map (PCM). Characte... Read More about A Proposal of a New Chaotic Map for Application in the Image Encryption Domain.

Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead (2022)
Journal Article
Masaracchia, A., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2022). Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead. IEEE Open Journal of the Communications Society, 3, 2137-2150. https://doi.org/10.1109/OJCOMS.2022.32190

The concept of digital twin (DT) is constantly revealing as a key enabling technology for the deployment of mobile communication services envisaged for the sixth-generation (6G) Internet-of-Things (IoT). This paper aims at providing a comprehensive r... Read More about Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead.

A robust deep learning approach for tomato plant leaf disease localization and classification (2022)
Journal Article
Nawaz, M., Nazir, T., Javed, A., Masood, M., Rashid, J., Kim, J., & Hussain, A. (2022). A robust deep learning approach for tomato plant leaf disease localization and classification. Scientific Reports, 12(1), Article 18568. https://doi.org/10.1038/s41598

Tomato plants' disease detection and classification at the earliest stage can save the farmers from expensive crop sprays and can assist in increasing the food quantity. Although, extensive work has been presented by the researcher for the tomato pla... Read More about A robust deep learning approach for tomato plant leaf disease localization and classification.

TAFFO: The compiler-based precision tuner (2022)
Journal Article
Cattaneo, D., Chiari, M., Agosta, G., & Cherubin, S. (2022). TAFFO: The compiler-based precision tuner. SoftwareX, 20, Article 101238. https://doi.org/10.1016/j.softx.2022.101238

We present taffo, a framework that automatically performs precision tuning to exploit the performance/accuracy trade-off. In order to avoid expensive dynamic analyses, taffo leverages programmer annotations which encapsulate domain knowledge about th... Read More about TAFFO: The compiler-based precision tuner.

Numerical Study on Elastic Parameter Identification of Large-Span Steel Truss Structures Based on Strain Test Data (2022)
Journal Article
Zhang, Y., Zhou, A., Xu, H., & Zhang, H. (2022). Numerical Study on Elastic Parameter Identification of Large-Span Steel Truss Structures Based on Strain Test Data. Buildings, 12(11), Article 1861. https://doi.org/10.3390/buildings12111861

Large-span steel trusses are widely used in public buildings such as large-span factory buildings, exhibition halls, gymnasiums, and bridges because of their fast construction speed and easy industrial manufacturing. Due to construction errors and en... Read More about Numerical Study on Elastic Parameter Identification of Large-Span Steel Truss Structures Based on Strain Test Data.