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All Outputs (169)

Choosing Sample Sizes for Statistical Measures on Interval-Valued Data (2020)
Conference Proceeding
McCulloch, J., Ellerby, Z., & Wagner, C. (2020). Choosing Sample Sizes for Statistical Measures on Interval-Valued Data. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-8). https://doi.org/10.1109/FUZZ48607.2020.9177745

Intervals have frequently been used in the literature to represent uncertainty in data, from eliciting uncertain judgements from experts to representing uncertainty in sensor measurements. This widespread use of intervals has led to research on inter... Read More about Choosing Sample Sizes for Statistical Measures on Interval-Valued Data.

Finding Comfortable Routes for Ambulance Transfers of Newborn Infants (2020)
Conference Proceeding
Partridge, T. J., Morris, D. E., Light, R. A., Leslie, A., Sharkey, D., Crowe, J. A., & McNally, D. S. (2020). Finding Comfortable Routes for Ambulance Transfers of Newborn Infants. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/EMBC44109.2020.9175873

Early inter-hospital ambulance transport of premature babies is associated with more severe brain injury. The mechanism is unclear, but they are exposed to excessive noise and vibration. Smart-routing may help minimise these exposure levels and poten... Read More about Finding Comfortable Routes for Ambulance Transfers of Newborn Infants.

From sharing to gifting: A web app for deepening engagement (2020)
Conference Proceeding
Adams, M., Spence, J., Clark, S., Farr, J. R., Benford, S., & Tandavanitj, N. (2020). From sharing to gifting: A web app for deepening engagement. In EVA London 2020: Electronic Visualisation & the Arts. , (48-49). https://doi.org/10.14236/ewic/EVA2020.7

Visitors currently use social media to share their experiences in museums, but these interactions are often short, quick and superficial. Is it possible to transform the impulse to share into an act of generosity, deepening engagement with museum col... Read More about From sharing to gifting: A web app for deepening engagement.

Comparing Intervals Using Type Reduction (2020)
Conference Proceeding
Runkler, T. A., Chen, C., Coupland, S., & John, R. (2020). Comparing Intervals Using Type Reduction. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-6). https://doi.org/10.1109/fuzz48607.2020.9177675

Many decision making processes are based on choosing options with maximum utility. Often utility assessments are associated with uncertainty, which may be mathematically modeled by intervals of utilities. Intervals of utilities may be mapped to singl... Read More about Comparing Intervals Using Type Reduction.

FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language (2020)
Conference Proceeding
Chen, C., Razak, T. R., & Garibaldi, J. M. (2020). FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-8). https://doi.org/10.1109/fuzz48607.2020.9177780

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such as FuzzyToolkitUoN. Whilst keeping existing functionalities of the previo... Read More about FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language.

Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI) (2020)
Conference Proceeding
D'Alterio, P., Garibaldi, J. M., & John, R. I. (2020). Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI). In Proceedings of IEEE World Congress on Computational Intelligence (WCCI) 2020

In recent year, there has been a growing need for intelligent systems that not only are able to provide reliable classifications but can also produce explanations for the decisions they make. The demand for increased explainability has led to the eme... Read More about Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI).

Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java (2020)
Conference Proceeding
D'Alterio, P., Garibaldi, J. M., John, R. I., & Wagner, C. (2020). Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java. In Proceedings of IEEE World Congress on Computational Intelligence (WCCI) 2020

Constrained interval type-2 (CIT2) fuzzy sets are a class of type-2 fuzzy sets that has been recently proposed as a way to extend type-1 membership functions to interval type-2 (IT2) while keeping a semantic connection between the IT2 fuzzy set and t... Read More about Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java.

Study of Performance of Knitted Conductive Sleeves as Wearable Textile Strain Sensors for Joint Motion Tracking (2020)
Conference Proceeding
Isaia, C., McMaster, S. A., & McNally, D. (2020). Study of Performance of Knitted Conductive Sleeves as Wearable Textile Strain Sensors for Joint Motion Tracking. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society (4555-4558). https://doi.org/10.1109/EMBC44109.2020.9176429

Textile-based strain sensors combine wearability with strain sensing functionality by using only the tensile and electrical properties of the threads they are made of. In this study, two conductive sleeves were manufactured for the elbow and three fo... Read More about Study of Performance of Knitted Conductive Sleeves as Wearable Textile Strain Sensors for Joint Motion Tracking.

Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning (2020)
Conference Proceeding
Bermudez, A., Calderon-Ramirez, S., Thang, T., Tyrrell, P., Moemeni, A., Yang, S., & Torrents-Barrena, J. (2020). Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. . https://doi.org/10.1109/IJCNN48605.2020.9206779

Photostimulable Phosphor Plates are commonly used in digital X-ray imaging for dentistry. During its usage, these plates get damaged, influencing the diagnosis performance and confidence of the dentistry professional. We propose a deep learning based... Read More about Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.

Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging (2020)
Conference Proceeding
Turabee, G., Cosma, G., Madonna, V., Giangrande, P., Khowja, M. R., Vakil, G., …Galea, M. (2020). Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. In 2020 International Joint Conference onNeural Networks (IJCNN): 2020 conference proceedings (1-7). https://doi.org/10.1109/IJCNN48605.2020.9207378

© 2020 IEEE. Health monitoring has gained a massive interest in power systems engineering, as it has the advantage to reduce operating costs, improve reliability of power supply and provide a better service to customers. This paper presents surrogate... Read More about Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging.

Necrotic Control of the Aesthetics of Evolved Art (2020)
Conference Proceeding
Ashlock, D., & Greensmith, J. (2020). Necrotic Control of the Aesthetics of Evolved Art. In 2020 IEEE Congress on Evolutionary Computation (CEC): conference proceedings (1-8). https://doi.org/10.1109/CEC48606.2020.9185654

This study uses necrosis, a technique from the domain of artificial immune systems, to control the evolution of apoptotic cellular automata. These automata generate complex images that require a very small amount of initial data. The genes that yield... Read More about Necrotic Control of the Aesthetics of Evolved Art.

Intention Progression under Uncertainty (2020)
Conference Proceeding
Yao, Y., Alechina, N., Logan, B., & Thangarajah, J. (2020). Intention Progression under Uncertainty. In C. Bessiere (Ed.), Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) (10-16). https://doi.org/10.24963/ijcai.2020/2

A key problem in Belief-Desire-Intention agents is how an agent progresses its intentions, i.e., which plans should be selected and how the execution of these plans should be interleaved so as to achieve the agent’s goals. Previous approaches to the... Read More about Intention Progression under Uncertainty.

Using Recurrent Neural Network for Intelligent Prediction of Water Level in Reservoirs (2020)
Conference Proceeding
Zhang, J., Zhang, Z., Weng, Y., Gosling, S., Yang, H., Yang, C., …Ma, Q. (2020). Using Recurrent Neural Network for Intelligent Prediction of Water Level in Reservoirs. . https://doi.org/10.1109/COMPSAC48688.2020.0-108

© 2020 IEEE. Water resources management over long term has faced a great challenge due to the increasing demands on water from a growing number of population and a huge variance of water usage in different time and place. Therefore, a new time series... Read More about Using Recurrent Neural Network for Intelligent Prediction of Water Level in Reservoirs.

Discrete-Event Simulation and Building Information Modelling Based Animation of Construction Activities (2020)
Conference Proceeding
Osorio-Sandoval, C. A., Tizani, W., Pereira, E., Koch, C., & Fadoul, A. (2021). Discrete-Event Simulation and Building Information Modelling Based Animation of Construction Activities. In Proceedings of the 18th International Conference on Computing in Civil and Building Engineering: ICCCBE 2020 (285-294). https://doi.org/10.1007/978-3-030-51295-8_21

Discrete-event simulation (DES) technology has been widely used in the construction context, particularly in the academic community for research purposes. However, it has been neglected by industry for various reasons, including the usual way in whic... Read More about Discrete-Event Simulation and Building Information Modelling Based Animation of Construction Activities.

A Knowledge-Based Model for Constructability Assessment of Buildings Design Using BIM (2020)
Conference Proceeding
Fadoul, A., Tizani, W., & Osorio-Sandoval, C. A. (2020). A Knowledge-Based Model for Constructability Assessment of Buildings Design Using BIM. In E. Toledo Santos, & S. Scheer (Eds.), Proceedings of the 18th International Conference on Computing in Civil and Building Engineering: ICCCBE 2020 (147-159). https://doi.org/10.1007/978-3-030-51295-8_13

Economic and time efficiency can be attained in the construction industry by applying the principles of constructability. Existing empirical studies demonstrate that incorporating these principles into initial stages of design maximise outcomes for a... Read More about A Knowledge-Based Model for Constructability Assessment of Buildings Design Using BIM.

NottReal: A Tool for Voice-based Wizard of Oz studies (2020)
Conference Proceeding
Porcheron, M., Fischer, J. E., & Valstar, M. (2020). NottReal: A Tool for Voice-based Wizard of Oz studies. In CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces (1–3). https://doi.org/10.1145/3405755.3406168

We present NottReal, an application designed for simulating Voice User Interfaces (VUIs) in Wizard of Oz studies. We briefly discuss the premise and advantages of the Wizard of Oz method before moving onto introducing the design of the application, w... Read More about NottReal: A Tool for Voice-based Wizard of Oz studies.

What Can I Say?: Effects of Discoverability in VUIs on Task Performance and User Experience (2020)
Conference Proceeding
Kirschthaler, P., Porcheron, M., & Fischer, J. E. (2020). What Can I Say?: Effects of Discoverability in VUIs on Task Performance and User Experience. In CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces (1–9). https://doi.org/10.1145/3405755.3406119

Discoverability, the ability for users to find and execute features through a user interface, is a recurrent problem with Voice User Interface (VUI) design that makes it difficult for users to understand what commands are supported by a newly encount... Read More about What Can I Say?: Effects of Discoverability in VUIs on Task Performance and User Experience.

Computation of Invariant Tubes for Robust Output Feedback Model Predictive Control (2020)
Conference Proceeding
Hu, C., Liu, C., & Jaimoukha, I. M. (2020). Computation of Invariant Tubes for Robust Output Feedback Model Predictive Control

This paper presents an algorithm to calculate tightened invariant tubes for output feedback model predictive controllers (MPC). We consider discrete-time linear time-invariant (DLTI) systems with bounded state and input constraints and subject to bou... Read More about Computation of Invariant Tubes for Robust Output Feedback Model Predictive Control.