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Design and Development of Remote Monitoring Predictive Maintenance Dashboard for Reverse Osmosis Water Purification Plant (2023)
Conference Proceeding
Bani, N. A., Amran, M. E., Noordin, M. K., Kasri, N. F., Hidayat, A. A., Muhtazaruddin, M. N., …Muhammad-Sukki, F. (2023). Design and Development of Remote Monitoring Predictive Maintenance Dashboard for Reverse Osmosis Water Purification Plant. In 2023 IEEE 2nd National Biomedical Engineering Conference (NBEC). https://doi.org/10.1109/NBEC58134.2023.10352634

In an effort to digitalize and modernize medical equipment maintenance services in Government Hospitals, remote monitoring dashboard has become indispensable. Monitoring dashboards are often used to monitor, control, improve and maintain the operatio... Read More about Design and Development of Remote Monitoring Predictive Maintenance Dashboard for Reverse Osmosis Water Purification Plant.

Navigating Authenticity: A Study on Brand Activism’s Influence on Consumer Responses and Role of Emotional Brand Attachment and Brand Passion (2023)
Conference Proceeding
Cheung, M. (in press). Navigating Authenticity: A Study on Brand Activism’s Influence on Consumer Responses and Role of Emotional Brand Attachment and Brand Passion.

This study is based on Vredenburg et al. (2020)’s typology of brand activism to propose that authentic brand activism can be directly and indirectly explain for consumer’s responses through emotional brand attachment and brand passion. Moreover, empa... Read More about Navigating Authenticity: A Study on Brand Activism’s Influence on Consumer Responses and Role of Emotional Brand Attachment and Brand Passion.

AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array (2023)
Conference Proceeding
Akinsolu, M. O., Al-Yasir, Y. I. A., Hua, Q., See, C., & Liu, B. (in press). AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array.

Artificial intelligence (AI) is enabling the automated design of contemporary antennas for numerous applications. Specifically, the use of machine learning (ML)-assisted global optimization techniques for the efficient design of modern antennas is no... Read More about AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array.

Investigating Markers and Drivers of Gender Bias in Machine Translations (2023)
Conference Proceeding
Barclay, P., & Sami, A. (in press). Investigating Markers and Drivers of Gender Bias in Machine Translations. In IEEE International Conference on Software Analysis, Evolution and Reengineering

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biases. However, some LLMs use heuristics or post-processing to mask such b... Read More about Investigating Markers and Drivers of Gender Bias in Machine Translations.

A case study of fairness in generated images of Large Language Models for Software Engineering tasks (2023)
Conference Proceeding
Sami, M., Sami, A., & Barclay, P. (2023). A case study of fairness in generated images of Large Language Models for Software Engineering tasks. In 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME). https://doi.org/10.1109/icsme58846.2023.00051

Bias in Large Language Models (LLMs) has significant implications. Since they have revolutionized content creation on the web, they can lead to more unfair outcomes, lack of inclusivity, reinforcement of stereotypes and ethical and legal concerns. No... Read More about A case study of fairness in generated images of Large Language Models for Software Engineering tasks.

A Novel Immersed Framework of Computational Fluid Structure Interaction (2023)
Conference Proceeding
Xinyu, W., Kadapa, C., & Yue, M. (2024). A Novel Immersed Framework of Computational Fluid Structure Interaction. In Computational and Experimental Simulations in Engineering: Proceedings of ICCES 2023 (1313-1325). https://doi.org/10.1007/978-3-031-42987-3_92

The interaction between fluid and immersed solid is a nonlinear multi-physical phenomenon in science and engineering. Due to the challenges of large structural deformation, topological changes in the fluid domain, complexity of the geometry of the st... Read More about A Novel Immersed Framework of Computational Fluid Structure Interaction.

Using grain size distribution to estimate permeability (2023)
Conference Proceeding
Imre, E., Bálint, Á., Houng, D. T. Q., López, L. L., Répássy, L., Mwinken, D. K., …Feng, S. (in press). Using grain size distribution to estimate permeability. In Proceedings of the XVIII ECSMGE 2024

This study examines the saturated water permeability using samples of loose and dense 2-fraction coarse sand mixtures. Besides the non-normalised entropy variables some additional parameters like density, diameter descriptors are used to characterize... Read More about Using grain size distribution to estimate permeability.

It's all about co-creation: peer learning on the Erasmus Mundus programme at the University of Valencia (2023)
Conference Proceeding
Rihova, I., Gallarza, M., Andrade, M., Guimaraes, M., Hackmann, A., Kokolaki, O., & Missanelli, G. (2023). It's all about co-creation: peer learning on the Erasmus Mundus programme at the University of Valencia. In L. G. Chova, C. G. Martínez, & J. Lees (Eds.), 16th International Conference of Education, Research and Innovation: Conference Proceedings (8190-8196). https://doi.org/10.21125/iceri.2023.2092

The idea of teaching as a dialogue between teachers and students, and collaboration and sharing between students and their peers ([1], [2]), is gaining traction in higher education. This project showcases the use of collaborative learning to integrat... Read More about It's all about co-creation: peer learning on the Erasmus Mundus programme at the University of Valencia.

Can HP-protein folding be solved with genetic algorithms? Maybe not (2023)
Conference Proceeding
Jansen, R., Horn, R., van Eck, O., Version, K., Thomson, S. L., & van den Berg, D. (2023). Can HP-protein folding be solved with genetic algorithms? Maybe not. In Proceedings of the 15th International Joint Conference on Computational Intelligence (131-140). https://doi.org/10.5220/0012248500003595

Genetic algorithms might not be able to solve the HP-protein folding problem because creating random individuals for an initial population is very hard, if not impossible. The reason for this, is that the expected number of constraint violations incr... Read More about Can HP-protein folding be solved with genetic algorithms? Maybe not.

Too Constrained for Genetic Algorithms. Too Hard for Evolutionary Computing. The Traveling Tournament Problem. (2023)
Conference Proceeding
Verduin, K., Thomson, S. L., & van den Berg, D. (2023). Too Constrained for Genetic Algorithms. Too Hard for Evolutionary Computing. The Traveling Tournament Problem. In Proceedings of the 15th International Joint Conference on Computational Intelligence (246-257). https://doi.org/10.5220/0012192100003595

Unlike other NP-hard problems, the constraints on the traveling tournament problem are so pressing that it’s hardly possible to randomly generate a valid solution, for example, to use in a genetic algorithm’s initial population. In this study, we ran... Read More about Too Constrained for Genetic Algorithms. Too Hard for Evolutionary Computing. The Traveling Tournament Problem..

The Opaque Nature of Intelligence and the Pursuit of Explainable AI (2023)
Conference Proceeding
Thomson, S. L., van Stein, N., van den Berg, D., & van Leeuwen, C. (2023). The Opaque Nature of Intelligence and the Pursuit of Explainable AI. In Proceedings of the 15th International Joint Conference on Computational Intelligence (555-564). https://doi.org/10.5220/0012249500003595

When artificial intelligence is used for making decisions, people are more likely to accept those decisions if they can be made intelligible to the public. This understanding has led to the emerging field of explainable artificial intelligence. We re... Read More about The Opaque Nature of Intelligence and the Pursuit of Explainable AI.

Astera, an Educational Game About the Evolution of Galaxies (2023)
Conference Proceeding
Grubenmann, T., & Shankar, F. (2024). Astera, an Educational Game About the Evolution of Galaxies. In Games and Learning Alliance 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings (402-407). https://doi.org/10.1007/978-3-031-49065-1_40

The Universe at its largest scales remains still almost a mystery for most of the people not working in this field. With Astera, we present an educational video game that can teach about the cosmos whilst providing a thrilling and fun gaming experien... Read More about Astera, an Educational Game About the Evolution of Galaxies.

Model Fitting for Determining the Parameter of the Pore Size Distribution (2023)
Conference Proceeding
Imre, E., Mwinken, D. K., & Barreto, D. (2023). Model Fitting for Determining the Parameter of the Pore Size Distribution. In Book of Abstracts from 9th International Scientific Conference on Advances in Mechanical Engineering (43)

The computation of the SWCC requires prior estimation of the pore-size distribution (POSD) which is computed from the PSD. The process described in detail by [1-3]. It needs a value of a which is a model parameter related to particle shape and orient... Read More about Model Fitting for Determining the Parameter of the Pore Size Distribution.

Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques (2023)
Conference Proceeding
Gomez, L. R., Watt, T., Babaagba, K. O., Chrysoulas, C., Homay, A., Rangarajan, R., & Liu, X. (2023). Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques. In ICISS '23: Proceedings of the 2023 6th International Conference on Information Science and Systems (113-118). https://doi.org/10.1145/3625156.3625173

In recent years, text has been the main form of communication on social media platforms such as Twitter, Reddit, Facebook, Instagram and YouTube. Emotion Recognition from these platforms can be exploited for all sorts of applications. Through the mea... Read More about Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques.

Minkowski Based Microwave Resonator for Material Detection over Sub-6 GHz 5G Spectrum (2023)
Conference Proceeding
Anwer, A. I., Alibakhshikenari, . M., Elwi, T., Virdee, B., Kouhalvandi, L., Abdul Hassain, Z. A., …Livreri, P. (2023). Minkowski Based Microwave Resonator for Material Detection over Sub-6 GHz 5G Spectrum. . https://doi.org/10.1109/6GNet58894.2023.10317726

This paper describes the performance of a low-cost, high-sensitive microwave resonator for 5G modern wireless communication systems operating through sub-6GHz spectrum. Here, the proposed resonator is constructed from a Minkowski fractal open stub th... Read More about Minkowski Based Microwave Resonator for Material Detection over Sub-6 GHz 5G Spectrum.

Smart Cities as Future Internet-Based Developments that Adapt to Climate Change and Which Green the Intellectual Capital of Urban and Regional Innovation Systems (2023)
Conference Proceeding
Deakin, M., & Reid, A. (2023). Smart Cities as Future Internet-Based Developments that Adapt to Climate Change and Which Green the Intellectual Capital of Urban and Regional Innovation Systems. In HCI International 2023 – Late Breaking Papers. HCII 2023 (467-480). https://doi.org/10.1007/978-3-031-48047-8_31

Many in the academic community find claims made about the virtuous nature of smart cities dumbfounding. In that sense left not only bewildered by the claims which academics make about the virtues of smart cities, but the audacious nature of the expec... Read More about Smart Cities as Future Internet-Based Developments that Adapt to Climate Change and Which Green the Intellectual Capital of Urban and Regional Innovation Systems.

A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things (2023)
Conference Proceeding
Momand, A., Jan, S. U., & Ramzan, N. (2024). A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things. In Intelligent Systems and Pattern Recognition: Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11–13, 2023, Revised Selected Papers, Part II (277-287). https://doi.org/10.1007/978-3-031-46338-9_21

The Internet of Things (IoT) is the connection of smart devices and objects to the internet, allowing them to share and analyze data, communicate with each other, and be controlled remotely. Several IoT devices are designed to collect, process, and s... Read More about A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things.

Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices (2023)
Conference Proceeding
Zang, Z., Dolinsky, U., Ghiglio, P., Cherubin, S., Goli, M., & Yang, S. (2023). Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices. In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL) (351-352). https://doi.org/10.1109/FPL60245.2023.00062

Multi-Level Intermediate Representation (MLIR) is gaining increasing attention in reconfigurable hardware communities due to its capability to represent various abstract levels for software compilers. This project aims to be the first to provide an e... Read More about Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices.

Metamaterial Based Sensor Using Fractal Hilbert Structure for Liquid Characterization (2023)
Conference Proceeding
AbdulSattar, R. K., Alibakhshikenari, M., Elwi, T. A., Kouhalvandi, L., Hassain, Z. A. A., Virdee, B. S., …Limiti, E. (2023). Metamaterial Based Sensor Using Fractal Hilbert Structure for Liquid Characterization. In 2023 International Conference on Electromagnetics in Advanced Applications (ICEAA). https://doi.org/10.1109/iceaa57318.2023.10297837

In this work, a simple and efficient approach is presented to design a metamaterial based sensitive sensor for liquid characterization. The proposed sensor based on the Hilbert structure has a compacted size of 40×60×1.6mm3. The Hilbert curve is used... Read More about Metamaterial Based Sensor Using Fractal Hilbert Structure for Liquid Characterization.