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FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation (2021)
Presentation / Conference Contribution
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2021). FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494456

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have c... Read More about FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

An Enhanced and Cost Saving Droop Control Method for Improved Load Sharing for the MEA Application (2021)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Wang, C., & Bozhko, S. (2021). An Enhanced and Cost Saving Droop Control Method for Improved Load Sharing for the MEA Application. In 2021 IEEE Transportation Electrification Conference & Expo (ITEC) (84-89). https://doi.org/10.1109/itec51675.2021.9490097

The more electric aircraft (MEA) concept has been identified as the major trend of future aircraft. The DC distribution network is a promising architecture for more-electric aircraft application, where multiple electrical sources are connected to a c... Read More about An Enhanced and Cost Saving Droop Control Method for Improved Load Sharing for the MEA Application.

Targeting Global Environmental Challenges by the Means of Novel Multimodal Transport: Concept of Operations (2021)
Presentation / Conference Contribution
Portapas, V., Zaidi, Y., Bakunowicz, J., Paddeu, D., Valera-Medina, A., & Didey, A. (2021). Targeting Global Environmental Challenges by the Means of Novel Multimodal Transport: Concept of Operations. In 2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4) (101-106). https://doi.org/10.1109/worlds451998.2021.9514048

Novel modes of transport form the basis of environmentally friendly and economically efficient transport system of the future. This paper introduces the feasibility study of a Dock to Dock (D2D) use case, combining aspects of route development and in... Read More about Targeting Global Environmental Challenges by the Means of Novel Multimodal Transport: Concept of Operations.

Bibliometric Analysis of Blockchain Research in Health – Year 2020 as Catalyst for Development (2021)
Presentation / Conference Contribution
Pears, M., & Konstantinidis, S. (2021, July). Bibliometric Analysis of Blockchain Research in Health – Year 2020 as Catalyst for Development. Poster presented at IEEE International Conference on Biomedical and Health Informatics (BHI'21), Virtual

In 2020, substantial impact occurred around how technology was used due to COVID-19. This may have reignited interest in blockchain technology, and understanding the research overtime can help in predicting future directions in health domains. From p... Read More about Bibliometric Analysis of Blockchain Research in Health – Year 2020 as Catalyst for Development.

ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies (2021)
Presentation / Conference Contribution
Galvez Trigo, M. J., Porcheron, M., Egede, J., Fischer, J. E., Hazzard, A., Greenhalgh, C., …Valstar, M. (2021). ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies. In Proceedings of CUI 2021 : Conversational User Interfaces. https://doi.org/10.1145/3469595.3469621

We present ALTCAI, a Wizard of Oz Embodied Conversational Agent that has been developed to explore the use of interactive agents as an effective and engaging tool for delivering health and well-being advice to expectant and nursing mothers in Nigeria... Read More about ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies.

Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism (2021)
Presentation / Conference Contribution
Standen, P. J., Brown, D. J., Kwiatkowska, G. M., Belmonte, M. K., Galvez Trigo, M. J., Boulton, H., …Traversi, M. (2021). Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism. In R. A. Sottilare, & J. Schwarz (Eds.), Adaptive Instructional Systems. Design and Evaluation : Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I. https://doi.org/10.1007/978-3-030-77857-6

Adoption of e-learning for those with special needs lags that for mainstream learners. Not much is known about barriers and facilitators that drive this disparity. The present study used focus groups and interviews to collect the views of 21 teachers... Read More about Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism.

Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning (2021)
Presentation / Conference Contribution
Calderon-Ramırez, S., Murillo-Hernandez, D., Rojas-Salazar, K., Calvo-Valverde, L.-A., Yang, S., Moemeni, A., …Molina-Cabello, M. (2021). Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning. . https://doi.org/10.1109/IJCNN52387.2021.9533719

Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning model under real world scenari... Read More about Improving Uncertainty Estimations for Mammogram Classification Using Semi-Supervised Learning.

Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids (2021)
Presentation / Conference Contribution
Navas-Fonseca, A., Burgos-Mellado, C., Espina, E., Rute, E., Gomez, J. S., Saez, D., & Sumner, M. (2021). Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids. . https://doi.org/10.1109/ICDCM50975.2021.9504612

DC microgrids ease the integration of renewables and can be easily put together with plug-and-play operation. However, most control techniques in DC microgrids focus on voltage regulation without considering its economical operation. Furthermore, the... Read More about Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids.

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox (2021)
Presentation / Conference Contribution
Razak, T. R., Chen, C., Garibaldi, J. M., & Wagner, C. (2021). Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ45933.2021.9494485

The use of Hierarchical Fuzzy Systems (HFS) has been well acknowledged as a good approach in reducing the complexity and improving the interpretability of fuzzy logic systems (FLS). Over the past years, many fuzzy logic toolkits have been made availa... Read More about Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox.

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems (2021)
Presentation / Conference Contribution
Chen, C., Zhao, Y., Wagner, C., Pekaslan, D., & Garibaldi, J. M. (2021). An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz45933.2021.9494472

Recent years have seen a surge in interest in non-singleton fuzzy systems. These systems enable the direct modelling of uncertainty affecting systems' inputs using the fuzzification stage. Moreover, recent work has shown how different composition app... Read More about An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems.

Intrusion Detection System Based on an Updated ANN Model (2021)
Presentation / Conference Contribution
Xue, Y., Onzo, B.-M., & Neri, F. (2021). Intrusion Detection System Based on an Updated ANN Model. In Y. Tan, & Y. Shi (Eds.), Advances in Swarm Intelligence : 12th International Conference, ICSI 2021, Qingdao, China, July 17–21, 2021, Proceedings, Part II (472-479). https://doi.org/10.1007/978-3-030-78811-7_44

An intrusion detection system (IDS) is a software application or hardware appliance that monitors traffic on networks and systems to search for suspicious activity and known threats, sending up alerts when it finds such items. In these recent years,... Read More about Intrusion Detection System Based on an Updated ANN Model.

Internal ∞-Categorical Models of Dependent Type Theory : Towards 2LTT Eating HoTT (2021)
Presentation / Conference Contribution
Kraus, N. (2021). Internal ∞-Categorical Models of Dependent Type Theory : Towards 2LTT Eating HoTT. In 2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) (1-14). https://doi.org/10.1109/LICS52264.2021.9470667

Using dependent type theory to formalise the syntax of dependent type theory is a very active topic of study and goes under the name of "type theory eating itself" or "type theory in type theory." Most approaches are at least loosely based on Dybjer'... Read More about Internal ∞-Categorical Models of Dependent Type Theory : Towards 2LTT Eating HoTT.

Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism (2021)
Presentation / Conference Contribution
Standen, P. J., Brown, D. J., Kwiatkowska, G. M., Belmonte, M. K., Galvez Trigo, M. J., Boulton, H., …Traversi, M. (2021). Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism. In R. A. Sottilare, & J. Schwarz (Eds.), . https://doi.org/10.1007/978-3-030-77857-6_31

© Springer Nature Switzerland AG 2021. Adoption of e-learning for those with special needs lags that for mainstream learners. Not much is known about barriers and facilitators that drive this disparity. The present study used focus groups and i... Read More about Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism.

Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors (2021)
Presentation / Conference Contribution
Fu, X., Ding, C., Zanchetta, P., Yang, X., Tang, M., & Liu, Y. (2021). Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors. . https://doi.org/10.1109/LDIA49489.2021.9505810

The cogging force arising due to the strong attraction forces between the iron core and the permanent magnets, is a common inherent property of the linear motors, which significantly affects the control performance. Therefore, significant research ef... Read More about Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors.

A Framework for Self-Configuration in Manufacturing Production Systems (2021)
Presentation / Conference Contribution
Rehman, H. U., Chaplin, J. C., Zarzycki, L., & Ratchev, S. (2021). A Framework for Self-Configuration in Manufacturing Production Systems. . https://doi.org/10.1007/978-3-030-78288-7_7

Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves-called self-configuration. This paper describes a framework for utilising d... Read More about A Framework for Self-Configuration in Manufacturing Production Systems.

Learning Feedforward Control for Industrial Manipulators (2021)
Presentation / Conference Contribution
Liu, C., Popov, A., Turner, A., Shires, E., & Ratchev, S. (2021). Learning Feedforward Control for Industrial Manipulators. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) (523-528). https://doi.org/10.1109/DDCLS52934.2021.9455672

In this work, an iterative learning control (ILC) algorithm is proposed for industrial manipulators. The proposed ILC algorithm works coordinately with the inverse dynamics of the manipulator and a feedback controller. The entire control scheme has t... Read More about Learning Feedforward Control for Industrial Manipulators.

Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach (2021)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Gao, Y., Wang, C., Dragicevic, T., & Bozhko, S. (2021). Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach. In Proceedings of 30th International Symposium on Industrial Electronics (ISIE 2021). https://doi.org/10.1109/isie45552.2021.9576482

In this paper, a new approach for the design of the droop coefficient in the droop control of power converters using the artificial neural network (ANN) is proposed. In the first instance, a detailed more electric aircraft (MEA) electrical power syst... Read More about Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach.

Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification (2021)
Presentation / Conference Contribution
Emsley, I., & Chamberlain, A. (2021). Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification. In WebSci '21 Companion: Companion Publication of the 13th ACM Web Science Conference 2021 (50-52). https://doi.org/10.1145/3462741.3466667

In this paper, we present our initial findings in using digital methods to consider the way that different devices can connect to the same object. We take a more experimental view of the ways in which network data might be used in compositions to hel... Read More about Sounding out the System: Multidisciplinary Web Science Platforms for Creative Sonification.