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Outputs (610)

Towards efficient IoT communication for smart agriculture: A deep learning framework (2024)
Journal Article
Alturif, G., Saleh, W., El-Bary, A. A., & Osman, R. A. (2024). Towards efficient IoT communication for smart agriculture: A deep learning framework. PLOS ONE, 19(11), Article e0311601. https://doi.org/10.1371/journal.pone.0311601

The integration of IoT (Internet of Things) devices has emerged as a technical cornerstone in the landscape of modern agriculture, revolutionising the way farming practises are viewed and managed. Smart farming, enabled by interconnected sensors and... Read More about Towards efficient IoT communication for smart agriculture: A deep learning framework.

New Signs for Animation: AnimSign - presentation (2024)
Presentation / Conference Contribution
Mortimer, J. (2024, November). New Signs for Animation: AnimSign - presentation. Presented at CTN (Creative Talent Network) Animation Expo 2024, Burbank, California, USA

Unveiling the Significance of Graphene Nanoplatelet (GNP) Localization in Tuning the Performance of PP/HDPE Blends (2024)
Journal Article
Salehiyan, R., El-Samak, A. A., Kamkar, M., Erfanian, E., Hodge, S. A., Sundararaj, U., & McNally, T. (2024). Unveiling the Significance of Graphene Nanoplatelet (GNP) Localization in Tuning the Performance of PP/HDPE Blends. Materials, 17(22), Article 5673. https://doi.org/10.3390/ma17225673

High-density polyethylene (HDPE) and polypropylene (PP) blends are widely used in industries requiring mechanically durable materials, yet the impact of processing parameters on blend performance remains underexplored. This study investigates the inf... Read More about Unveiling the Significance of Graphene Nanoplatelet (GNP) Localization in Tuning the Performance of PP/HDPE Blends.

Optimal DC link voltage stabilisation technique for a grid-connected PV system (2024)
Presentation / Conference Contribution
Khan, T., Kahwash, F., Ahmed, J., & Goh, K. (2024, September). Optimal DC link voltage stabilisation technique for a grid-connected PV system. Paper presented at ECCE Europe 2024, Darmstadt, Germany

The utilisation of renewable energy (RES) powered microgrids has seen significant growth due to environmental concerns. These RES resources are often integrated with the grid through a DC link. Maintaining the DC link voltage at a specified level is... Read More about Optimal DC link voltage stabilisation technique for a grid-connected PV system.

An Attention‐Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification (2024)
Journal Article
Lilhore, U. K., Simaiya, S., Alhussein, M., Dalal, S., Aurangzeb, K., & Hussain, A. (2025). An Attention‐Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification. Expert Systems, 42(2), Article e13791. https://doi.org/10.1111/exsy.13791

Heart disease continues to be a primary cause of mortality globally, highlighting the critical necessity for efficient early prediction and classification techniques. This study presents a new hybrid model attention-based CNN-Bi-LSTM that integrates... Read More about An Attention‐Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification.

A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping (2024)
Journal Article
Chen, L., Hussain, A., Liu, Y., Tan, J., Li, Y., Yang, Y., Ma, H., Fu, S., & Li, G. (2024). A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping. Sensors, 24(22), Article 7381. https://doi.org/10.3390/s24227381

Composite robots often encounter difficulties due to changes in illumination, external disturbances, reflective surface effects, and cumulative errors. These challenges significantly hinder their capabilities in environmental perception and the accur... Read More about A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping.

Innovative UWB Phase Shifters Using Groove Gap-Waveguide Technology Inspired by Metasurfaces for Beamforming Networks Operating at 100 GHz (2024)
Presentation / Conference Contribution
Alibakhshikenari, M., Zidour, A., Virdee, B. S., Kouhalvandi, L., Shahid, S., See, C. H., & Limiti, E. (2024, November). Innovative UWB Phase Shifters Using Groove Gap-Waveguide Technology Inspired by Metasurfaces for Beamforming Networks Operating at 100 GHz. Presented at 2024 Asia-Pacific Microwave Conference (APMC), Bali, Indonesia

This paper presents the design of four phase shifters (+45°, +90°, +135°, +180°) for matrix-based beamforming networks (MB-BFN) in mm-wave antenna arrays. Utilizing groove gap-waveguide (GGW) technology with unequal-width, equal-length transmission l... Read More about Innovative UWB Phase Shifters Using Groove Gap-Waveguide Technology Inspired by Metasurfaces for Beamforming Networks Operating at 100 GHz.

You Are What You Write: Author re-identification privacy attacks in the era of pre-trained language models (2024)
Journal Article
Plant, R., Giuffrida, V., & Gkatzia, D. (2025). You Are What You Write: Author re-identification privacy attacks in the era of pre-trained language models. Computer Speech and Language, 90, Article 101746. https://doi.org/10.1016/j.csl.2024.101746

The widespread use of pre-trained language models has revolutionised knowledge transfer in natural language processing tasks. However, there is a concern regarding potential breaches of user trust due to the risk of re-identification attacks, where m... Read More about You Are What You Write: Author re-identification privacy attacks in the era of pre-trained language models.

Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics (2024)
Journal Article
Fantinelli Franco, F., Malik, M. H., Manjakkal, L., Roshanghias, A., Smith, C. J., & Gauchotte-Lindsay, C. (2024). Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics. ACS applied materials & interfaces, 16(47), 65489 - 65502. https://doi.org/10.1021/acsami.4c13124

In this study, we explored the morphological and electrochemical properties of carbon-based electrodes derived from laser-induced graphene (LIG) and compared them to commercially available graphene-sheet screen-printed electrodes (GS-SPEs). By optimi... Read More about Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics.