Outputs (4095)

A Participative Approach To Understanding The Hidden Curriculum (2022)
Presentation / Conference Contribution
Brazier, D., & Milosheva, M. (2022, April). A Participative Approach To Understanding The Hidden Curriculum. Paper presented at ASIST 24-Hour Global Conference, Online

Information needs are fundamental building blocks of the information behaviour and information retrieval literature. However, the concept of an “information need” is rarely discussed or defined, particularly in the context of everyday life informatio... Read More about A Participative Approach To Understanding The Hidden Curriculum.

A novel temporal attentive-pooling based convolutional recurrent architecture for acoustic signal enhancement (2022)
Journal Article
Hussain, T., Wang, W.-C., Gogate, M., Dashtipour, K., Tsao, Y., Lu, X., Ahsan, A., & Hussain, A. (2022). A novel temporal attentive-pooling based convolutional recurrent architecture for acoustic signal enhancement. IEEE Transactions on Artificial Intelligence, 3(5), 833-842. https://doi.org/10.1109/TAI.2022.3169995

Removing background noise from acoustic observations to obtain clean signals is an important research topic regarding numerous real acoustic applications. Owing to their strong model capacity in function mapping, deep neural network-based algorithms... Read More about A novel temporal attentive-pooling based convolutional recurrent architecture for acoustic signal enhancement.

Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform (2022)
Journal Article
Abd, M. H., Al-Suhail, G. A., Tahir, F. R., Ali Ali, A. M., Abbood, H. A., Dashtipour, K., Jamal, S. S., & Ahmad, J. (2022). Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform. Remote Sensing, 14(9), Article 1984. https://doi.org/10.3390/rs14091984

There is no doubt that chaotic systems are still attractive issues in various radar applications and communication systems. In this paper, we present a new 0.3 GHz mono-static microwave chaotic radar. It includes a chaotic system based on a time-dela... Read More about Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform.

Artificial Intelligence: Practical and Ethical Challenges (2022)
Book Chapter
Rice, S., & Maglaras, L. (2022). Artificial Intelligence: Practical and Ethical Challenges. In M. Ahmed, S. Rabiul Islam, A. Anwar, N. Moustafa, & A.-S. Khan Pathan (Eds.), Explainable Artificial Intelligence for Cyber Security (59-71). Springer. https://doi.org/10.1007/978-3-030-96630-0_3

Artificial Intelligence (AI) & Machine Learning (ML) is used everywhere in daily life from speech recognition on our phones, targeted marketing strategies & face recognition without the majority of society even realising it. The power of technology a... Read More about Artificial Intelligence: Practical and Ethical Challenges.

Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques (2022)
Journal Article
Khurshid, A., Mughal, M. A., Othman, A., Al-Hadhrami, T., Kumar, H., Khurshid, I., Arshad, & Ahmad, J. (2022). Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques. Electronics, 11(8), Article 1290. https://doi.org/10.3390/electronics11081290

With the advent of high-speed and parallel computing, the applicability of computational optimization in engineering problems has increased, with greater validation than conventional methods. Pitch angle is an effective variable in extracting maximum... Read More about Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques.

A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map (2022)
Journal Article
Alharbi, A. R., Ahmad, J., Arshad, Shaukat, S., Masood, F., Ghadi, Y. Y., Pitropakis, N., & Buchanan, W. J. (2022). A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map. Complexity, 2022, Article 7047282. https://doi.org/10.1155/2022/7047282

With the increasing volume of data transmission through insecure communication channels, big data security has become one of the important concerns in the cybersecurity domain. To address these concerns and keep data safe, a robust privacy-preserving... Read More about A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map.

Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers (2022)
Presentation / Conference Contribution
Cardoso, R. P., Hart, E., Burth Kurka, D., & Pitt, J. (2022, April). Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers. Presented at EvoSTAR, Madrid

Using Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification. However, using gradient descent to train evolved architectures during the search can be comput... Read More about Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers.

Applications of Evolutionary Computation: 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings (2022)
Book
Jiménez Laredo, J. L., Hidalgo, J. I., & Babaagba, K. O. (Eds.). (2022). Applications of Evolutionary Computation: 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. Springer. https://doi.org/10.1007/978-3-031-02462-7

This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2022, held as part of Evo*2022, in April 2022, co-located with the Evo*2022 events EuroGP, EvoCOP, and Ev... Read More about Applications of Evolutionary Computation: 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings.

Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn (2022)
Book Chapter
Hart, E. (2022). Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn. In A. E. Smith (Ed.), Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics (187-203). Springer. https://doi.org/10.1007/978-3-030-79092-9_9

Standard approaches to developing optimisation algorithms tend to involve selecting an algorithm and tuning it to work well on a large set of problem instances from the domain of interest. Once deployed, the algorithm remains static, failing to impro... Read More about Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn.

Speculative and Critical Design: approaches and influences in education (2022)
Journal Article
Helgason, I., Encinas, E., Mitrovic, I., & Smyth, M. (2022). Speculative and Critical Design: approaches and influences in education. Interaction Design and Architecture(s) IxDetA, 5-7. https://doi.org/10.55612/s-5002-051-001psi

As guest editors of this special edition we are delighted to present this selection of papers responding to our call about Speculative and Critical Design in education. The response to the call demonstrates that interest in this approach is increasin... Read More about Speculative and Critical Design: approaches and influences in education.