Outputs (2633)

Eye centre localisation with convolutional neural networks in high- and low-resolution images (2022)
Journal Article

Eye centre localisation is critical to eye tracking systems of various forms and with applications in variety of disciplines. An active eye tracking approach can achieve a high accuracy by leveraging active illumination to gain an enhanced contrast o... Read More about Eye centre localisation with convolutional neural networks in high- and low-resolution images.

Integration of cost-efficient carbon electrodes into the development of microbial fuel cells (2022)
Book Chapter

Microbial fuel cells are a renewable energy technology that can generate electricity from organic fuel such as wastewater, whilst simultaneously treating it. In order to implement this technology at larger scale, a major challenge is the choice of su... Read More about Integration of cost-efficient carbon electrodes into the development of microbial fuel cells.

Evaluating multi-channel vibrational feedback arrays in a digit discrimination task (2022)
Presentation / Conference Contribution

In recent years manipulators and grippers have become more advanced., allowing for more nuanced interactions with the environment. In order to take advantage of the benefits that this can provide in teleoperation., methods for providing closed-loop t... Read More about Evaluating multi-channel vibrational feedback arrays in a digit discrimination task.

Lignocellulosic natural fibers in polymer composite materials: Benefits, challenges and applications (2022)
Book Chapter

In recent years, there has been an ever-expanding interest in reducing the environmental impact associated with the polymer manufacturing industry. This review discusses the benefits associated with natural fibers use in composite materials as well a... Read More about Lignocellulosic natural fibers in polymer composite materials: Benefits, challenges and applications.

Tuning methods for tuned inerter dampers coupled to nonlinear primary systems (2022)
Journal Article

This study develops displacement- and kinetic energy-based tuning methods for the design of the tuned inerter dampers (TIDs) coupled to both linear and nonlinear primary systems. For the linear primary system, the design of the TID is obtained analyt... Read More about Tuning methods for tuned inerter dampers coupled to nonlinear primary systems.

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article

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.

Modeling of uncertain nonlinear system with Z-numbers (2021)
Book Chapter

In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network ap... Read More about Modeling of uncertain nonlinear system with Z-numbers.

Vision based semantic runway segmentation from simulation with deep convolutional neural networks (2021)
Presentation / Conference Contribution

Manned flight crew rely upon optical imagery to make sense of the world and carry out high level guidance, navigation & control tasks. To advance autonomous aircraft’s capabilities and safety, programmes need to be developed that aim to achieve pilot... Read More about Vision based semantic runway segmentation from simulation with deep convolutional neural networks.

Incremental motor skill learning and generalization from human dynamic reactions based on dynamic movement primitives and fuzzy logic system (2021)
Journal Article

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

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.