Outputs (167)

Towards intelligibility-oriented audio-visual speech enhancement (2021)
Presentation / Conference Contribution
Hussain, T., Gogate, M., Dashtipour, K., & Hussain, A. (2021, September). Towards intelligibility-oriented audio-visual speech enhancement. Presented at The Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2021), Online

Existing deep learning (DL) based approaches are generally optimised to minimise the distance between clean and enhanced speech features. These often result in improved speech quality however they suffer from a lack of generalisation and may not deli... Read More about Towards intelligibility-oriented audio-visual speech enhancement.

Migrating Models: A Decentralized View on Federated Learning (2021)
Presentation / Conference Contribution
Kiss, P., & Horváth, T. (2021, September). Migrating Models: A Decentralized View on Federated Learning. Presented at ECML PKDD 2021, Online

Federated learning (FL) researches attempt to alleviate the increasing difficulty of training machine learning models, when the training data is generated in a massively distributed way. The key idea behind these methods is moving the training to loc... Read More about Migrating Models: A Decentralized View on Federated Learning.

Ethical Frameworks for Artificial Intelligence (AI) and Social Robots in Children’s Healthcare Experiences (2021)
Presentation / Conference Contribution
Zeller, F., Petrick, R. P., Harris Smith, D., Stinson, J., Ellen Foster, M., & Ali, S. (2021, March). Ethical Frameworks for Artificial Intelligence (AI) and Social Robots in Children’s Healthcare Experiences. Presented at HRI 2021 Workshop on Measuring Child-Robot Relationships, Online

This multi-disciplinary project aims to develop and evaluate an ethical, AI-enhanced, socially intelligent robot designed to alleviate children’s distress and pain in a clinical setting. Spanning different disciplines such as HRI, communication scien... Read More about Ethical Frameworks for Artificial Intelligence (AI) and Social Robots in Children’s Healthcare Experiences.

Dynamic Optimal Coding and Scheduling for Distributed Learning over Wireless Edge Networks (2021)
Presentation / Conference Contribution
Van Huynh, N., Hoang, D. T., Nguyen, D. N., & Dutkiewicz, E. (2021, December). Dynamic Optimal Coding and Scheduling for Distributed Learning over Wireless Edge Networks. Presented at GLOBECOM 2021 - 2021 IEEE Global Communications Conference, Madrid, Spain

This paper proposes a novel framework that can effectively address key challenges for the development of distributed learning over wireless edge networks. In particular, we first introduce a highly effective distributed learning model leveraging the... Read More about Dynamic Optimal Coding and Scheduling for Distributed Learning over Wireless Edge Networks.

The Opportunity of Cadmium Stannate as Transparent Conducting Oxide for Perovskite-Based Concentrated Photovoltaic System (2021)
Presentation / Conference Contribution
Khalid, M., Roy, A., Sundaram, S., & Mallick, T. K. (2021). The Opportunity of Cadmium Stannate as Transparent Conducting Oxide for Perovskite-Based Concentrated Photovoltaic System. . https://doi.org/10.4229/EUPVSEC20212021-3BV.1.7

The relative scarcity and high cost associated with indium or fluorine, fabrication approaches surface roughness, and low adhesion to polymeric materials are significant drawbacks for indium tin oxide (ITO) and fluorine tin oxide (FTO)-based transpar... Read More about The Opportunity of Cadmium Stannate as Transparent Conducting Oxide for Perovskite-Based Concentrated Photovoltaic System.

Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems (2021)
Presentation / Conference Contribution
Strathearn, C., & Gkatzia, D. (2021). Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems. In Proceedings of the 14th International Conference on Natural Language Generation (46-47)

Conversational systems aim to generate responses that are accurate, relevant and engaging, either through utilising neural end-to-end models or through slot filling. Human-to-human conversations are enhanced by not only the latest utterance of the in... Read More about Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems.

An Attribute Weight Estimation Using Particle Swarm Optimization and Machine Learning Approaches for Customer Churn Prediction (2021)
Presentation / Conference Contribution
Kanwal, S., Rashid, J., Kim, J., Nisar, M. W., Hussain, A., Batool, S., & Kanwal, R. (2021, November). An Attribute Weight Estimation Using Particle Swarm Optimization and Machine Learning Approaches for Customer Churn Prediction. Presented at 2021 International Conference on Innovative Computing (ICIC), Lahore, Pakistan

One of the most challenging problems in the telecommunications industry is predicting customer churn (CCP). Decision-makers and business experts stressed that acquiring new clients is more expensive than maintaining current ones. From current churn d... Read More about An Attribute Weight Estimation Using Particle Swarm Optimization and Machine Learning Approaches for Customer Churn Prediction.

Predicting CO2 and CH4 Transport in Landfill Gas Using Porous Inorganic Membranes Operated in The Darcy Regime (2021)
Presentation / Conference Contribution
Gobina, E., Ogunlude, P., Abunumah, O., Giwa, A., & Muhammad-Sukki, F. (2021, December). Predicting CO2 and CH4 Transport in Landfill Gas Using Porous Inorganic Membranes Operated in The Darcy Regime. Presented at International Congress on Scientific Advances (ICONSAD’21), Online

The present work is focusing on the utilization of previously fabricated membrane to study the effect of pressure drop and temperature on permeability. Mass transfer considerations were used under previously optimized conditions. Subsequently, gas pe... Read More about Predicting CO2 and CH4 Transport in Landfill Gas Using Porous Inorganic Membranes Operated in The Darcy Regime.

Using IOTA as an Inter-Vehicular Trust Mechanism in Autonomous Vehicles (2021)
Presentation / Conference Contribution
Cutajar, O., Moradpoor, N., & Jaroucheh, Z. (2021, December). Using IOTA as an Inter-Vehicular Trust Mechanism in Autonomous Vehicles. Presented at SINCONF 2021: 14th International Conference on Security of Information and Networks, Edinburgh (Online)

In a perfect world, coordination and cooperation across distributed autonomous systems would be a trivial task. However, incomplete information, malicious actors and real-world conditions can provide challenges which bring the trust-worthiness of par... Read More about Using IOTA as an Inter-Vehicular Trust Mechanism in Autonomous Vehicles.

VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems (2021)
Presentation / Conference Contribution
Robles Durazno, A., Moradpoor, N., McWhinnie, J., & Porcel-Bustamante, J. (2021, December). VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems. Presented at SINCONF 2021: 14th International Conference on Security of Information and Networks, Edinburgh (Online)

The rapid development of technology during the last decades has led to the integration of the network capabilities in the devices that are essential in the operation of Industrial Control Systems (ICS). Consequently, the attack surface of these asset... Read More about VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems.