11 results

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions

Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024)
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3
ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. Howev...

ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology

Journal Article
Naji, A., Hawbani, A., Wang, X., Al-Gunid, H. M., Al-Dhabi, Y., Al-Dubai, A., …Alsamhi, S. H. (2024)
ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology. IEEE Transactions on Sustainable Computing, 9(1), 31 - 45. https://doi.org/10.1109/tsusc.2023.3296607
Wireless Power Transfer (WPT) is a promising technology that can potentially mitigate the energy provisioning problem for sensor networks. In order to efficiently replenish en...

Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection

Journal Article
Cui, C., Lu, L., Tan, Z., & Hussain, A. (2021)
Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection. Neurocomputing, 464, 252-264. https://doi.org/10.1016/j.neucom.2021.08.026
Segmentation-based methods are widely used for scene text detection due to their superiority in describing arbitrary-shaped text instances. However, two major problems still e...

COVID-19 UK Social Media Dataset for Public Health Research

Dataset
Plant, R., & Hussain, A. (2021)
COVID-19 UK Social Media Dataset for Public Health Research. [Dataset]. https://doi.org/10.17869/enu.2021.2755974
We present a benchmark database of public social media postings from the United Kingdom related to the Covid-19 pandemic for academic research purposes, along with some initia...

Cross-modality interactive attention network for multispectral pedestrian detection

Journal Article
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019)
Cross-modality interactive attention network for multispectral pedestrian detection. Information Fusion, 50, 20-29. https://doi.org/10.1016/j.inffus.2018.09.015
Multispectral pedestrian detection is an emerging solution with great promise in many around-the-clock applications, such as automotive driving and security surveillance. To e...

Higher-order statistics-based nonlinear speech analysis

Journal Article
Soraghan, J. J., Hussain, A., Alkulabi, A., & Durrani, T. (2002)
Higher-order statistics-based nonlinear speech analysis. Control and Intelligent Systems, 30, 11-18
A fast and robust three-level binary higher order statistics (HOS) based algorithm for simultaneous voiced/unvoiced detection and pitch estimation of speech signals in coloure...

A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing

Journal Article
Zhao, L., Zhao, Z., Zhang, E., Hawbani, A., Al-Dubai, A., Tan, Z., & Hussain, A. (2023)
A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing. IEEE Journal on Selected Areas in Communications, 41(11), 3386-3400. https://doi.org/10.1109/jsac.2023.3310062
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload the com...

Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs

Journal Article
Alsarhan, A., Kilani, Y., Al-Dubai, A., Zomaya, A. Y., & Hussain, A. (2020)
Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs. IEEE Transactions on Vehicular Technology, 69(2), 1568-1581. https://doi.org/10.1109/TVT.2019.2956228
Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scala...

STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation

Journal Article
Fang, M., Yu, L., Xie, H., Tan, Q., Tan, Z., Hussain, A., …Tian, Z. (in press)
STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation. IEEE Transactions on Computational Social Systems, 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 see...

Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications

Journal Article
Tanoli, S. A. K., Shah, S. A., Khan, M. B., Nawaz, F., Hussain, A., Al-Dubai, A. Y., …Alsarhan, A. (2020)
Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications. IEEE Access, 8, 29395-29406. https://doi.org/10.1109/access.2020.2969750
Wireless communication using existing coding models poses several challenges for RF signals due to multipath scattering, rapid fluctuations in signal strength and...
7 results

KTP Ace Aquatec

2021 - 2023
To develop, test and incorporate Innovative AI based approaches to improve accuracy of Individual fish identification and sea lice detection.
Funder: Innovate UK | Value: £265,334

Towards multilingual audio-visual speech enhancement in real noisy environments

2023 - 2025
Speech enhancement aims to improve the overall quality and intelligibility of speech degraded by noise sources in real-world noisy environments. In recent years, researchers have proposed audio-visual...
Funder: Royal Society | Value: £12,000

Cross-lingual Audio-visual Speech Enhancement based on Deep Multimodal Learning

2023 - 2025
Speech enhancement and separation techniques are often used to improve the quality and intelligibility of speech degraded by background distractions, including speech and non-speech noises. We aim to ...
Funder: Royal Society of Edinburgh | Value: £12,000

Artificial Intelligence (AI)-powered dashboard for COVID-19 related public sentiment and opinion mining in social media platforms

2020 - 2020
: The project will aid in understanding and mitigating the direct and indirect impacts of the COVID-19 pandemic, by creating an AI-driven dashboard for policymakers, public health and clinical practit...
Funder: Chief Scientists Office | Value: £135,104

COG-MHEAR: Towards cognitively-inspired, 5G-IoT enabled multi-modal hearing aids

2021 - 2026
Embracing the multimodal nature of speech presents both opportunities and challenges for hearing assistive technology: on the one hand there are opportunities for the design of new multimodal audio-vi...
Funder: Engineering and Physical Sciences Research Council | Value: £3,258,999

Security and Privacy in Vehicular Ad-hoc Networks

2022 - 2024
The great leap forward in wireless communications technology drives the recent advancements of Vehicular Ad hoc NETworks (VANETs). As a key part of the Intelligent Transportation Systems (ITS) framewo...
Funder: Royal Society | Value: £12,000

Evaluation of Federated Machine Unlearning using Membership Inference Attacks

2023 - 2026
Federated Learning (FL) is a type of distributed Machine Learning (ML) training technique that allows for accurate predictions without sharing sensitive data. This is possible, as FL allows everyone t...
Funder: Carnegie Trust for the Universities of Scotland | Value: £73,564

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