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RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks (2021)
Journal Article
Kosmanos, D., Karagiannis, D., Argyriou, A., Lalis, S., & Maglaras, L. (2021). RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks. Security and Communication Networks, 2021, Article 9959310. https://doi.org/10.1155/2021/9959310

Wireless communications are vulnerable against radio frequency (RF) interference which might be caused either intentionally or unintentionally. A particular subset of wireless networks, Vehicular Ad-hoc NETworks (VANET), which incorporate a series of... Read More about RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks.

RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction (2021)
Journal Article
Zhu, L., Liu, Q., Liu, X., & Zhang, Y. (2021). RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction. EURASIP Journal on Wireless Communications and Networking, 2021, Article 171 (2021). https://doi.org/10.1186/s13638-021-02044-9

For the purpose of exploring the long-term variation of regional sea surface temperature (SST), this paper studies the historical SST in regional sea areas and the emission pattern of greenhouse gases, proposing a Grey model of regional SST atmospher... Read More about RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction.

A New Optimization Algorithm Based on the Fungi Kingdom Expansion Behavior for Antenna Applications (2021)
Journal Article
Alnahwi, F. M., Yasir, I. A., Sattar, D., Ali, R. S., See, C. H., & Abd-Alhameed, R. A. (2021). A New Optimization Algorithm Based on the Fungi Kingdom Expansion Behavior for Antenna Applications. Electronics, 10(17), Article 2057. https://doi.org/10.3390/electronics10172057

This paper presents a new optimization algorithm based on the behavior of the fungi kingdom expansion (FKE) to optimize the radiation pattern of the array antenna. The immobile mass expansion of the fungi is mimicked in this work as a chaotic behavio... Read More about A New Optimization Algorithm Based on the Fungi Kingdom Expansion Behavior for Antenna Applications.

Multimodal Emotion Recognition from Art Using Sequential Co-Attention (2021)
Journal Article
Tashu, T. M., Hajiyeva, S., & Horvath, T. (2021). Multimodal Emotion Recognition from Art Using Sequential Co-Attention. Journal of Imaging, 7(8), Article 157. https://doi.org/10.3390/jimaging7080157

In this study, we present a multimodal emotion recognition architecture that uses both feature-level attention (sequential co-attention) and modality attention (weighted modality fusion) to classify emotion in art. The proposed architecture helps the... Read More about Multimodal Emotion Recognition from Art Using Sequential Co-Attention.

Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London) (2021)
Journal Article
Hemaida, A., Ghosh, A., Sundaram, S., & Mallick, T. K. (2021). Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London). Energy and Buildings, 251, Article 111381. https://doi.org/10.1016/j.enbuild.2021.111381

Polymer dispersed liquid crystal (PDLC) is an electrically switchable smart window, that can provide privacy and control solar radiation, resulting in a potential energy saving. The optical properties of the PDLC window can be altered from translucen... Read More about Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London).

Incremental input-to-state stability for Lur’e systems and asymptotic behaviour in the presence of Stepanov almost periodic forcing (2021)
Journal Article
Gilmore, M., Guiver, C., & Logemann, H. (2021). Incremental input-to-state stability for Lur’e systems and asymptotic behaviour in the presence of Stepanov almost periodic forcing. Journal of Differential Equations, 300, 692-733. https://doi.org/10.1016/j.jde.2021.08.009

We prove (integral) input-to-state stability results for a class of forced Lur’e differential inclusions and use them to investigate incremental (integral) input-to-state stability properties of Lur’e differential equations. The latter provide a basi... Read More about Incremental input-to-state stability for Lur’e systems and asymptotic behaviour in the presence of Stepanov almost periodic forcing.

A New Model for Estimation of Energy Extraction from Bifacial Photovoltaic Modules (2021)
Journal Article
Sahu, P. K., Roy, J. N., Chakraborty, C., & Sundaram, S. (2021). A New Model for Estimation of Energy Extraction from Bifacial Photovoltaic Modules. Energies, 14(16), Article 5089. https://doi.org/10.3390/en14165089

The energy yield from bifacial solar photovoltaic (PV) systems can be enhanced by optimizing the tilt angle. Bifacial modules boost the energy yield by 4% to 15% depending on the module type and ground reflectivity with an average of 9%. The selectio... Read More about A New Model for Estimation of Energy Extraction from Bifacial Photovoltaic Modules.

Determining equivalent-sectional shear modulus in torsion tests for laminated glass beams using photogrammetry method (2021)
Journal Article
Uheida, K., Deng, Y., Zhang, H., Galuppi, L., Gao, J., Li, X., Huang, S., Qin, X., Wong, S. H. F., Guo, J., Zhang, G., & Mohamed, A. (2021). Determining equivalent-sectional shear modulus in torsion tests for laminated glass beams using photogrammetry method. Composite Structures, 276, Article 114572. https://doi.org/10.1016/j.compstruct.2021.114572

This paper proposes a concise concept for quantifying the shear/torsional stiffness of the laminated glass beams experimentally by introducing the Equivalent-Sectional Shear Modulus (ESSM), that is directly measured from the torque and sectional-rota... Read More about Determining equivalent-sectional shear modulus in torsion tests for laminated glass beams using photogrammetry method.

Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems (2021)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2022). Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems. Applied Mathematics and Computation, 412, Article 126582. https://doi.org/10.1016/j.amc.2021.126582

This paper considers the data quantization problem for a class of unknown nonaffine nonlinear discrete-time multi-agent systems (MASs) under repetitive operations to achieve bipartite consensus tracking. Here, a quantized distributed model-free adapt... Read More about Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems.

Critical success factors for managing construction small and medium-sized enterprises in developing countries of Middle East: Evidence from Iranian construction enterprises (2021)
Journal Article
Sarvari, H., Chan, D. W., Fakhir, A. K., Olawumi, T. O., & Karim Aldaud, A. A. (2021). Critical success factors for managing construction small and medium-sized enterprises in developing countries of Middle East: Evidence from Iranian construction enterprises. Journal of Building Engineering, 43, Article 103152. https://doi.org/10.1016/j.jobe.2021.103152

The study aims to study the critical success factors (CSFs) for managing construction small and medium-sized enterprises (SMEs) in the developing countries of the Middle East. The statistical population included active experts in the field of constru... Read More about Critical success factors for managing construction small and medium-sized enterprises in developing countries of Middle East: Evidence from Iranian construction enterprises.

Tendon Stress Evaluation of Unbonded Post-Tensioned Concrete Segmental Bridges with Two-variable Response Surfaces (2021)
Journal Article
Halder, R., Yuen, T. Y., Chen, W., Zhou, X., Deb, T., Zhang, H., & Wen, T. (2021). Tendon Stress Evaluation of Unbonded Post-Tensioned Concrete Segmental Bridges with Two-variable Response Surfaces. Engineering Structures, 245, Article 112984. https://doi.org/10.1016/j.engstruct.2021.112984

This paper comprehensively studied the combined effects of prestress change and aspect ratios on the nonlinear structural performances of externally prestressed precast concrete segmental bridges (PCSB). An experimentally validated discrete-finite el... Read More about Tendon Stress Evaluation of Unbonded Post-Tensioned Concrete Segmental Bridges with Two-variable Response Surfaces.

A Unified Simulation Framework for Fluid–Structure–Control Interaction Problems with Rigid and Flexible Structures (2021)
Journal Article
Kadapa, C. (2022). A Unified Simulation Framework for Fluid–Structure–Control Interaction Problems with Rigid and Flexible Structures. International Journal of Computational Methods, 19(01), Article 2150052. https://doi.org/10.1142/s0219876221500523

Vortex-induced vibrations are often unwanted as they can lead to catastrophic failure of the associated structures, warranting countermeasures to mitigate or suppress these vibrations. Due to the nature of nonlinearities in fluid–structure interactio... Read More about A Unified Simulation Framework for Fluid–Structure–Control Interaction Problems with Rigid and Flexible Structures.

Effectiveness of virtual and augmented reality for improving knowledge and skills in medical students: protocol for a systematic review (2021)
Journal Article
Hussain, Z., Ng, D. M., Alnafisee, N., Sheikh, Z., Ng, N., Khan, A., Hussain, A., Aitken, D., & Sheikh, A. (2021). Effectiveness of virtual and augmented reality for improving knowledge and skills in medical students: protocol for a systematic review. BMJ Open, 11(8), Article e047004. https://doi.org/10.1136/bmjopen-2020-047004

Introduction Virtual reality (VR) and augmented reality (AR) technologies are increasingly being used in undergraduate medical education. We aim to evaluate the effectiveness of VR and AR technologies for improving knowledge and skills in medical stu... Read More about Effectiveness of virtual and augmented reality for improving knowledge and skills in medical students: protocol for a systematic review.

Scenario-based investigation on the effect of partial shading condition patterns for different static solar photovoltaic array configurations (2021)
Journal Article
Nazer, M. N. R., Noorwali, A., Tajuddin, M. F. N., Khan, M. Z., Tazally, M. A. I. A., Ahmed, J., Babu, T. S., Ghazali, N. H., Chakraborty, C., & Kumar, N. M. (2021). Scenario-based investigation on the effect of partial shading condition patterns for different static solar photovoltaic array configurations. IEEE Access, 9, 116050-116072. https://doi.org/10.1109/ACCESS.2021.3105045

This paper presents an in-depth analysis and investigation on the performance of static photovoltaic (PV) array configurations subjected to various partial shading conditions (PSCs). Under PSCs, the electrical characteristics of the PV modules are cr... Read More about Scenario-based investigation on the effect of partial shading condition patterns for different static solar photovoltaic array configurations.

Effect of Concentrated Butt-Joints on Flexural Properties of Laminated Bamboo-Timber Flitch Beams (2021)
Journal Article
Zhang, H., Gharavi, N., Wong, S. H. F., Deng, Y., Bahadori-Jahromi, A., Limkatanyu, S., Qiao, Y., & Kuang, J. (2022). Effect of Concentrated Butt-Joints on Flexural Properties of Laminated Bamboo-Timber Flitch Beams. Journal of Sandwich Structures and Materials, 24(2), 1226-1244. https://doi.org/10.1177/10996362211040103

This paper presents the experimental and analytical studies to investigate the effect of concentrated butt-joints on the flexural properties of laminated bamboo-timber flitch beam (BTFB, or bio-flitch beam). The experimental results reveal that the c... Read More about Effect of Concentrated Butt-Joints on Flexural Properties of Laminated Bamboo-Timber Flitch Beams.

A Hybrid-Domain Deep Learni/ng-Based BCI For Discriminating Hand Motion Planning From EEG Sources (2021)
Journal Article
Ieracitano, C., Morabito, F. C., Hussain, A., & Mammone, N. (2021). A Hybrid-Domain Deep Learni/ng-Based BCI For Discriminating Hand Motion Planning From EEG Sources. International Journal of Neural Systems, 31(9), Article 2150038. https://doi.org/10.1142/s0129065721500386

In this paper, a hybrid-domain deep learning (DL)-based neural system is proposed to decode hand movement preparation phases from electroencephalographic (EEG) recordings. The system exploits information extracted from the temporal-domain and time-fr... Read More about A Hybrid-Domain Deep Learni/ng-Based BCI For Discriminating Hand Motion Planning From EEG Sources.

Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection (2021)
Journal Article
Cui, C., Lu, L., Tan, Z., & Hussain, A. (2021). Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection. Neurocomputing, 464, 252-264. https://doi.org/10.1016/j.neucom.2021.08.026

Segmentation-based methods are widely used for scene text detection due to their superiority in describing arbitrary-shaped text instances. However, two major problems still exist: (1) current label generation techniques are mostly empirical and lack... Read More about Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection.

Investigating the Impact of Public Transport Service Disruptions upon Passenger Travel Behaviour—Results from Krakow City (2021)
Journal Article
Drabicki, A. A., Islam, M. F., & Szarata, A. (2021). Investigating the Impact of Public Transport Service Disruptions upon Passenger Travel Behaviour—Results from Krakow City. Energies, 14(16), Article 4889. https://doi.org/10.3390/en14164889

Public transport (PT) service disruptions are common and unexpected events which often result in major impediment to passengers’ typical travel routines. However, attitudes and behavioural responses to unexpected PT disruptions are still not fully un... Read More about Investigating the Impact of Public Transport Service Disruptions upon Passenger Travel Behaviour—Results from Krakow City.

Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration (2021)
Journal Article
Khartabil, D., Collins, C., Wells, S., Bach, B., & Kennedy, J. (2021). Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration. Computer Graphics Forum, 40(6), 447-465. https://doi.org/10.1111/cgf.14389

This paper reports the design and comparison of three visualizations to represent the structure and content within arguments. Arguments are artefacts of reasoning widely used across domains such as education, policy making, and science. An argument i... Read More about Design and Evaluation of Visualisation Techniques to Facilitate Argument Exploration.