Outputs (102)

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article
Sun, Q., Feng, X., Zhao, S., Cao, H., Li, S., & Yao, Y. (2021). Deep learning based customer preferences analysis in industry 4.0 environment. Mobile Networks and Applications, 26, 2329–2340. https://doi.org/10.1007/s11036-021-01830-5

Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with ofte... Read More about Deep learning based customer preferences analysis in industry 4.0 environment.

Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system (2021)
Journal Article
Lu, Z., Wang, N., Li, M., & Yang, C. (2022). Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system. IEEE Transactions on Fuzzy Systems, 30(6), 1506-1515. https://doi.org/10.1109/tfuzz.2021.3136933

Different from previous work on single skill learning from human demonstrations, an incremental motor skill learning, generalization and control method based on dynamic movement primitives (DMP) and broad learning system (BLS) is proposed for extract... Read More about Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system.

Passive impedance sensing using a SAW resonator-coupled biosensor for zero-power wearable applications (2021)
Journal Article
Yue, X., Kiely, J., Luxton, R., Chen, B., McLeod, C. N., & Drakakis, E. M. (2022). Passive impedance sensing using a SAW resonator-coupled biosensor for zero-power wearable applications. IEEE Sensors Journal, 22(3), 2347-2357. https://doi.org/10.1109/JSEN.2021.3136705

A bio-sensing scheme, which acquires impedance information of a capacitive biosensor by using the reflected RF signal from a surface acoustic wave (SAW) resonator connected to the biosensor, is proposed. This technique requires no power to be supplie... Read More about Passive impedance sensing using a SAW resonator-coupled biosensor for zero-power wearable applications.

A hybrid artificial neural network and wavelet packet transform approach for fault location in hybrid transmission lines (2021)
Journal Article
Rezaee Ravesh, N., Ramezani, N., Ahmadi, I., & Nouri, H. (2022). A hybrid artificial neural network and wavelet packet transform approach for fault location in hybrid transmission lines. Electric Power Systems Research, 204, Article 107721. https://doi.org/10.1016/j.epsr.2021.107721

This paper presents a single-ended traveling-wave-based fault location (F.L.) method in a hybrid transmission line (HTL) with an overhead section combined with a cable section. For this, the software has been developed in a MATLAB programming environ... Read More about A hybrid artificial neural network and wavelet packet transform approach for fault location in hybrid transmission lines.

Microbial fuel cell scale-up options: Performance evaluation of membrane (c-MFC) and membrane-less (s-MFC) systems under different feeding regimes (2021)
Journal Article
Walter, X. A., Madrid, E., Gajda, I., Greenman, J., & Ieropoulos, I. (2022). Microbial fuel cell scale-up options: Performance evaluation of membrane (c-MFC) and membrane-less (s-MFC) systems under different feeding regimes. Journal of Power Sources, 520, 230875. https://doi.org/10.1016/j.jpowsour.2021.230875

In recent years, bioelectrochemical systems have advanced towards upscaling applications and tested during field trials, primarily for wastewater treatment. Amongst reported trials, two designs of urine-fed microbial fuel cells (MFCs) were tested suc... Read More about Microbial fuel cell scale-up options: Performance evaluation of membrane (c-MFC) and membrane-less (s-MFC) systems under different feeding regimes.

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding (2021)
Journal Article
Pearson, M. J., Dora, S., Struckmeier, O., Knowles, T. C., Mitchinson, B., Tiwari, K., …Pennartz, C. M. (2021). Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers in Robotics and AI, 8, Article 732023. https://doi.org/10.3389/frobt.2021.732023

Recognising familiar places is a competence required in many engineering applications that interact with the real world such as robot navigation. Combining information from different sensory sources promotes robustness and accuracy of place recogniti... Read More about Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding.

Experiments in artificial culture: from noisy imitation to storytelling robots (2021)
Journal Article
Winfield, A. F. T., & Blackmore, S. (2021). Experiments in artificial culture: from noisy imitation to storytelling robots. Philosophical Transactions B: Biological Sciences, 377, Article 20200323. https://doi.org/10.1098/rstb.2020-0323

This paper presents a series of experiments in collective social robotics, spanning more than 10 years, with the long-term aim of building embodied models of (aspects) of cultural evolution. Initial experiments demonstrated the emergence of behaviour... Read More about Experiments in artificial culture: from noisy imitation to storytelling robots.

Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences (2021)
Journal Article
Sardo, A. M., Little, H., & Fogg-Rogers, L. (2021). Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences. International Journal of Science Education, Part B: Communication and Public Engagement, 11(4), https://doi.org/10.1080/21548455.2021.2012298

The Royal Institution Christmas Lectures are a landmark in the history of science communication. With today’s changing media landscape, it is important to know who is currently watching, how they are watching, and how they are perceiving the content.... Read More about Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences.

Design, novel quality check and experimental test of an original variable length stepped scarf repair scheme (2021)
Journal Article
Damghani, M., Bolanos, S., Chahar, A., Matthews, J., Atkinson, G. A., Murphy, A., & Edwards, T. (2022). Design, novel quality check and experimental test of an original variable length stepped scarf repair scheme. Composites Part B: Engineering, 230, Article 109542. https://doi.org/10.1016/j.compositesb.2021.109542

The performance of well-established stepped scarf repair schemes for highly loaded composite structures has been studied in previous works. However, none of the proposed repair schemes appear to minimise healthy material removal. Thus, this paper pro... Read More about Design, novel quality check and experimental test of an original variable length stepped scarf repair scheme.

Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine (2021)
Journal Article
Nouri, H. (2021). Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine. Nonlinear Dynamics and Systems Theory, 21(5), 457–470

This paper develops an adaptive sliding mode control based on fuzzy systems. In this control technique, the possibilities offered by Sugeno type fuzzy systems, in terms of their ability to approximate continuous nonlinear functions, are exploited, an... Read More about Adaptive sliding mode control based on fuzzy systems applied to the permanent magnet synchronous machine.