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Outputs (421)

Improved bounds on number fields of small degree (2024)
Journal Article
Anderson, T. C., Gafni, A., Hughes, K., Lemke Oliver, R. J., Lowry-Duda, D., Thorne, F., Wang, J., & Zhang, R. (in press). Improved bounds on number fields of small degree. Discrete Analysis,

We study the number of degree n number fields with discriminant bounded by X. In this article, we improve an upper bound due to Schmidt on the number of such fields that was previously the best known upper bound for 6 ≤ n ≤ 94.

Implementing Virtualization on Single-Board Computers: A Case Study on Edge Computing (2024)
Journal Article
Lambropoulos, G., Mitropoulos, S., Douligeris, C., & Maglaras, L. (2024). Implementing Virtualization on Single-Board Computers: A Case Study on Edge Computing. Computers, 13(2), Article 54. https://doi.org/10.3390/computers13020054

The widespread adoption of cloud computing has resulted in centralized datacenter structures; however, there is a requirement for smaller-scale distributed infrastructures to meet the demands for speed, responsiveness, and security for critical appli... Read More about Implementing Virtualization on Single-Board Computers: A Case Study on Edge Computing.

Data-based bipartite formation control for multi-agent systems with communication constraints (2024)
Journal Article
Wang, J., Zhao, H., Yu, H., Yang, R., & Li, J. (2024). Data-based bipartite formation control for multi-agent systems with communication constraints. Science Progress, 107(1), https://doi.org/10.1177/00368504241227620

This article investigates data-driven distributed bipartite formation issues for discrete-time multi-agent systems with communication constraints. We propose a quantized data-driven distributed bipartite formation control approach based on the plant’... Read More about Data-based bipartite formation control for multi-agent systems with communication constraints.

Robust Real-time Audio-Visual Speech Enhancement based on DNN and GAN (2024)
Journal Article
Gogate, M., Dashtipour, K., & Hussain, A. (in press). Robust Real-time Audio-Visual Speech Enhancement based on DNN and GAN. IEEE Transactions on Artificial Intelligence, https://doi.org/10.1109/tai.2024.3366141

The human auditory cortex contextually integrates audio-visual (AV) cues to better understand speech in a cocktail party situation. Recent studies have shown that AV speech enhancement (SE) models can significantly improve speech quality and intellig... Read More about Robust Real-time Audio-Visual Speech Enhancement based on DNN and GAN.

British Sign Language Detection Using Ultra-Wideband Radar Sensing and Residual Neural Network (2024)
Journal Article
Saeed, U., Shah, S. A., Ghadi, Y. Y., Hameed, H., Shah, S. I., Ahmad, J., & Abbasi, Q. H. (2024). British Sign Language Detection Using Ultra-Wideband Radar Sensing and Residual Neural Network. IEEE Sensors Journal, 24(7), 11144-11151. https://doi.org/10.1109/jsen.2024.3364389

This study represents a significant advancement in Sign Language Detection (SLD), a crucial tool for enhancing communication and fostering inclusivity among the hearing-impaired community. It innovatively combines radar technology with deep learning... Read More about British Sign Language Detection Using Ultra-Wideband Radar Sensing and Residual Neural Network.

A novel medical image data protection scheme for smart healthcare system (2024)
Journal Article
Rehman, M. U., Shafique, A., Khan, M. S., Driss, M., Boulila, W., Ghadi, Y. Y., Changalasetty, S. B., Alhaisoni, M., & Ahmad, J. (2024). A novel medical image data protection scheme for smart healthcare system. CAAI Transactions on Intelligence Technology, 9(4), 821-836. https://doi.org/10.1049/cit2.12292

The Internet of Multimedia Things (IoMT) refers to a network of interconnected multimedia devices that communicate with each other over the Internet. Recently, smart healthcare has emerged as a significant application of the IoMT, particularly in the... Read More about A novel medical image data protection scheme for smart healthcare system.

Training future engineers: Integrating Computational Thinking and effective learning methodologies into education (2024)
Journal Article
Herrero‐Álvarez, R., León, C., Miranda, G., & Segredo, E. (2024). Training future engineers: Integrating Computational Thinking and effective learning methodologies into education. Computer Applications in Engineering Education, 32(3), Article e22723. https://doi.org/10.1002/cae.22723

This article examines the effectiveness and interest generated among primary and secondary education students through activities aimed at developing Computational Thinking skills, in the context of the coronavirus disease 2019 pandemic. The shift to... Read More about Training future engineers: Integrating Computational Thinking and effective learning methodologies into education.

STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation (2024)
Journal Article
Fang, M., Yu, L., Xie, H., Tan, Q., Tan, Z., Hussain, A., Wang, Z., Li, J., & Tian, Z. (2024). STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation. IEEE Transactions on Computational Social Systems, 11(4), 5354 - 5366. https://doi.org/10.1109/tcss.2024.3356549

The impressive development of facial manipulation techniques has raised severe public concerns. Identity-aware methods, especially suitable for protecting celebrities, are seen as one of promising face forgery detection approaches with additional ref... Read More about STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation.

An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment (2024)
Journal Article
Liu, Q., Jin, Y., Cao, X., Liu, X., Zhou, X., Zhang, Y., Xu, X., & Qi, L. (online). An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment. IEEE Transactions on Computational Social Systems, 11(4), 5308 - 5318. https://doi.org/10.1109/TCSS.2023.3342873

Fake news is a prevalent issue in modern society, leading to misinformation and societal harm. News credibility assessment is a crucial approach for evaluating the accuracy and authenticity of news. It plays a significant role in enhancing public awa... Read More about An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment.