All Outputs (3795)

The use of grading entropy in assessing granular soil hydraulic conductivity (2023)
Conference Proceeding
Feng, S., Vardanega, P., Ibraim, E., Barreto, D., & Imre, E. (2023). The use of grading entropy in assessing granular soil hydraulic conductivity. In A. Zhussupbekov, A. Sarsembayeva, & V. N. Kaliakin (Eds.), Smart Geotechnics for Smart Societies: Proceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17th ARC, Astana, Kazakhstan, 14-18 August, 2023) (314-319). https://doi.org/10.1201/9781003299127-28

Hydraulic conductivity is an important geotechnical engineering property as it is linked to the performance of many geo-structures. This study used a recently compiled granular soil database (CG/KSAT/7/1278) to evaluate the best fit probability densi... Read More about The use of grading entropy in assessing granular soil hydraulic conductivity.

Minimum dry density in terms of grading entropy coordinates (2023)
Conference Proceeding
Imre, E., Barreto, D., Datcheva, M., Singh, V. P., Baillie, W., Feng, S., & Firgi, T. (2023). Minimum dry density in terms of grading entropy coordinates. In A. Zhussupbekov, A. Sarsembayeva, & V. N. Kaliakin (Eds.), Smart Geotechnics for Smart Societies: Proceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17th ARC, Astana, Kazakhstan, 14-18 August, 2023) (402-406). https://doi.org/10.1201/9781003299127-42

In this paper, the grading entropy method is applied together with advanced interpolation methods in order to establish empirical relationships between grading entropy coordinates and minimum dry density of sands. Three databases consisting of 94 sam... Read More about Minimum dry density in terms of grading entropy coordinates.

Responsible Design & Evaluation of a Conversational Agent for a National Careers Service (2023)
Conference Proceeding
Wilson, M., Cruickshank, P., Gkatzia, D., & Robertson, P. (in press). Responsible Design & Evaluation of a Conversational Agent for a National Careers Service.

This PhD project applies a research-through-design approach to the development of a conversational agent for a national career service for young people. This includes addressing practical, interactional and ethical aspects of the system. For each asp... Read More about Responsible Design & Evaluation of a Conversational Agent for a National Careers Service.

Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids (2023)
Conference Proceeding
Gogate, M., Dashtipour, K., & Hussain, A. (2023). Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids. In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). https://doi.org/10.1109/icasspw59220.2023.10192961

Classical audio-visual (AV) speech enhancement (SE) and separation methods have been successful at operating under constrained environments; however, the speech quality and intelligibility improvement is significantly reduced in unconstrained real-wo... Read More about Towards Pose-Invariant Audio-Visual Speech Enhancement in the Wild for Next-Generation Multi-Modal Hearing Aids.

Towards Improving Accessibility of Web Auditing with Google Lighthouse (2023)
Conference Proceeding
McGill, T., Bamgboye, O., Liu, X., & Kalutharage, C. S. (2023). Towards Improving Accessibility of Web Auditing with Google Lighthouse. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, A. Jahangir Alam Majumder, …S. Iqbal Ahamed (Eds.), 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) (1594-1599). https://doi.org/10.1109/COMPSAC57700.2023.00246

Google Lighthouse is a tool made by Google for auditing web pages performance, accessibility, SEO, and best practices with the intention of improving the quality of the websites. This allows software developers to understand areas of improvement with... Read More about Towards Improving Accessibility of Web Auditing with Google Lighthouse.

Factors Affecting the Adoption of Telemedicine in Ethiopia (2023)
Conference Proceeding
Demeke, W. (2023). Factors Affecting the Adoption of Telemedicine in Ethiopia. In 2023 IST-Africa Conference (IST-Africa). https://doi.org/10.23919/IST-Africa60249.2023.10187862

This research aimed to identify the barriers to the adoption and implementation of telemedicine in Ethiopia from the perspectives of health professionals, and to analyse existing policy documents related to telemedicine. A total of 172 health profess... Read More about Factors Affecting the Adoption of Telemedicine in Ethiopia.

Evaluation of Partial Discharge Signal Propagation Using Finite Element Method in Power Transformer (2023)
Conference Proceeding
Abd Jalil, M. A., Rohani, M. N. K. H., Rosmi, A. S., Mas'ud, A. A., Muhammad-Sukki, F., & Ananda-Rao, K. (in press). Evaluation of Partial Discharge Signal Propagation Using Finite Element Method in Power Transformer.

Partial discharge (PD) is a phenomenon that can occur in power transformers which can lead to the degradation of the insulation system that resulting the failure of the power transformer. The power transformer uses oil as its insulation medium. An ac... Read More about Evaluation of Partial Discharge Signal Propagation Using Finite Element Method in Power Transformer.

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality (2023)
Conference Proceeding
Graham, K. C., Thomson, S. L., & Brownlee, A. E. I. (2023). Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. . https://doi.org/10.1145/3583133.3596433

We study the behaviour of particle swarm optimisation (PSO) with increasing problem dimension for the Alpine 1 function as an exploratory and preliminary case study. Performance trends are analysed and the tuned population size for PSO across dimensi... Read More about Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality.

Randomness in Local Optima Network Sampling (2023)
Conference Proceeding
Thomson, S. L., Veerapen, N., Ochoa, G., & van den Berg, D. (2023). Randomness in Local Optima Network Sampling. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (2099-2107). https://doi.org/10.1145/3583133.3596309

We consider statistical randomness in the construction of local optima networks (LONs) and conduct a preliminary and exploratory study into this. LONs capture a fitness landscape into network format: the nodes are local optima, and edges are heuristi... Read More about Randomness in Local Optima Network Sampling.

From Fitness Landscapes to Explainable AI and Back (2023)
Conference Proceeding
Thomson, S. L., Adair, J., Brownlee, A. E. I., & van den Berg, D. (2023). From Fitness Landscapes to Explainable AI and Back. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (1663-1667). https://doi.org/10.1145/3583133.3596395

We consider and discuss the ways in which search landscapes might contribute to the future of explainable artificial intelligence (XAI), and vice versa. Landscapes are typically used to gain insight into algorithm search dynamics on optimisation prob... Read More about From Fitness Landscapes to Explainable AI and Back.

Evolving Herding Behaviour Diversity in Robot Swarms (2023)
Conference Proceeding
Nitschke, G., Hallauer, S., & Hart, E. (2023). Evolving Herding Behaviour Diversity in Robot Swarms. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (95-98). https://doi.org/10.1145/3583133.3590528

Behavioural diversity has been demonstrated as beneficial in biological social systems, such as insect colonies and human societies, as well as artificial systems such as large-scale software and swarm-robotics systems. Evolutionary swarm robotics is... Read More about Evolving Herding Behaviour Diversity in Robot Swarms.

A Feature-Free Approach to Automated Algorithm Selection (2023)
Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2023). A Feature-Free Approach to Automated Algorithm Selection. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (9-10). https://doi.org/10.1145/3583133.3595832

This article summarises recent work in the domain of feature-free algorithm selection that was published in the Journal of Heuristics in January 2023, with the title 'Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches'. Spec... Read More about A Feature-Free Approach to Automated Algorithm Selection.

Towards optimisers that `Keep Learning' (2023)
Conference Proceeding
Hart, E., Miguel, I., Stone, C., & Renau, Q. (2023). Towards optimisers that `Keep Learning'. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (1636-1638). https://doi.org/10.1145/3583133.3596344

We consider optimisation in the context of the need to apply an optimiser to a continual stream of instances from one or more domains, and consider how such a system might 'keep learning': by drawing on past experience to improve performance and lear... Read More about Towards optimisers that `Keep Learning'.

Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning (2023)
Conference Proceeding
Smith, S. C., Lim, B., Janmohamed, H., & Cully, A. (2023). Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (171-174). https://doi.org/10.1145/3583133.3590625

Learning algorithms, like Quality-Diversity (QD), can be used to acquire repertoires of diverse robotics skills. This learning is commonly done via computer simulation due to the large number of evaluations required. However, training in a virtual en... Read More about Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning.

An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware (2023)
Conference Proceeding
Babaagba, K. O., & Wylie, J. (2023). An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware. In GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (1753-1759). https://doi.org/10.1145/3583133.3596362

Defeating dangerous families of malware like polymorphic and metamorphic malware have become well studied due to their increased attacks on computer systems and network. Traditional Machine Learning (ML) models have been used in detecting this malwar... Read More about An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware.

Intermediated Reality with an AI 3D Printed Character (2023)
Conference Proceeding
Casas, L., & Mitchell, K. (2023). Intermediated Reality with an AI 3D Printed Character. In SIGGRAPH '23: ACM SIGGRAPH 2023 Real-Time Live!. https://doi.org/10.1145/3588430.3597251

We introduce live character conversational interactions in Intermediated Reality to bring real-world objects to life in Augmented Reality (AR) and Artificial Intelligence (AI). The AI recognizes live speech and generates short character responses, sy... Read More about Intermediated Reality with an AI 3D Printed Character.

A New Scalable Distributed Homomorphic Encryption Scheme for High Computational Complexity Models (2023)
Conference Proceeding
Almaini, A., Folz, J., Woelfl, D., Al-Dubai, A., Schramm, M., & Heigl, M. (2023). A New Scalable Distributed Homomorphic Encryption Scheme for High Computational Complexity Models. In 2023 International Wireless Communications and Mobile Computing (IWCMC) ( 890-897). https://doi.org/10.1109/IWCMC58020.2023.10183131

Due to the increasing privacy demand in data processing, Fully Homomorphic Encryption (FHE) has recently received growing attention for its ability to perform calculations over encrypted data. Since the data can be processed in encrypted form and the... Read More about A New Scalable Distributed Homomorphic Encryption Scheme for High Computational Complexity Models.

A Novel Autonomous Time-Slotted LoRa MAC Protocol with Adaptive Frame Sizes (2023)
Conference Proceeding
Alahamadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (2023). A Novel Autonomous Time-Slotted LoRa MAC Protocol with Adaptive Frame Sizes. In 2023 International Wireless Communications and Mobile Computing (IWCMC) (917-922). https://doi.org/10.1109/IWCMC58020.2023.10182638

Time-Slotted Medium Access Control protocols bring advantages to the scalability of LoRa networks as an alternative to the ALOHA access method. However, such Time-Slotted protocols require nodes synchronization and schedules dissemination under strin... Read More about A Novel Autonomous Time-Slotted LoRa MAC Protocol with Adaptive Frame Sizes.

MoDEsT: a Modular Dialogue Experiments and Demonstration Toolkit (2023)
Conference Proceeding
Yu, Y., & Oduronbi, D. (2023). MoDEsT: a Modular Dialogue Experiments and Demonstration Toolkit. In CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces. https://doi.org/10.1145/3571884.3604405

We present a modular dialogue experiments and demonstration toolkit (MoDEsT) that assists researchers in planning tailored conversational AI-related studies. The platform can: 1) assist users in picking multiple templates based on specific task needs... Read More about MoDEsT: a Modular Dialogue Experiments and Demonstration Toolkit.

Multi/Broad-Band Phased Array Enabling Capacity and Physical-Layer Security in Cyberspace Mobile Communications for 5G and Beyond (2023)
Conference Proceeding
Ullah, A., Jahanbakhsh Basherlou, H., Parchin, N. O., Hwang See, C., & Abd-Alhameed, R. A. (2023). Multi/Broad-Band Phased Array Enabling Capacity and Physical-Layer Security in Cyberspace Mobile Communications for 5G and Beyond. In 2023 First International Conference on Microwave, Antenna and Communication (MAC). https://doi.org/10.1109/mac58191.2023.10177082

Broadband/multiband phased array antennas with wide-scan and smart beam-steering are desirable to meet the capacity and security requirements of 5G and beyond. This paper discusses the characteristics of a new beam-steerable phased array design havin... Read More about Multi/Broad-Band Phased Array Enabling Capacity and Physical-Layer Security in Cyberspace Mobile Communications for 5G and Beyond.