Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > MINDS CDT
School of Electronics and Computer Science > MINDS CDT" and Year is 2023
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Number of items: 28.
Article
A memristor fingerprinting and characterisation methodology for hardware security - Callum Aitchison, Basel Halak, Alex Serb and Themis Prodromakis
Type: Article
| 2023
Tree-search techniques for joint iterative compressive sensing and LDPC decoding in wireless sensor networks - Jue Chen, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder and Lajos Hanzo
Type: Article
| 2023
Extending scene-to-patch models: Multi-resolution multiple instance learning for Earth observation - Joseph Early, Ying-Jung Chen Deweese, Christine Evers and Sarvapali Ramchurn
Type: Article
| 2023
Soft-in soft-out polar decoding aided three-stage concatenated iterative mimo-turbo transceivers - Zeynep B. Kaykac Egilmez, Robert G. Maunder, Mohammed El-Hajjar and Lajos Hanzo
Type: Article
| 2023
| Item availability restricted.
Signal compaction using polynomial EVD for spherical array processing with applications - Vincent W. Neo, Christine Evers, Stephan Weiss and Patrick A. Naylor
Type: Article
| 2023
Efficient design of neural networks for the classification of acoustic spectra - Vlad S. Paul and Philip A. Nelson
Type: Article
| 2023
Strengthened Circle and Popov Criteria for the stability analysis of feedback systems with ReLU neural networks - Carl Richardson, Matthew Turner and Stephen Gunn
Type: Article
| 2023
Anthropocentrism and environmental wellbeing in AI ethics standards: a scoping review and discussion - Eryn Rigley, Adriane Chapman, Christine Evers and Will Mcneill
Type: Article
| 2023
Enabling ImageNet-scale deep learning on MCUs for accurate and efficient inference - Sulaiman Sadiq, Jonathon Hare, Simon Craske, Partha Maji and Geoff Merrett
Type: Article
| 2023
Antenna selection for reconfigurable intelligent surfaces: a transceiver-agnostic passive beamforming configuration - Chao Xu, Jiancheng An, Tong Bai, Shinya Sugiura, Robert G. Maunder, Lie-Liang Yang, Marco Di Renzo and Lajos Hanzo
Type: Article
| 2023
Conference or Workshop Item
The effect of data visualisation quality and task density on human-swarm interaction - Ayodeji Abioye, Mohammad Naiseh, William Hunt, Jediah R Clark, Sarvapali D. Ramchurn and Mohammad Soorati
Type: Conference or Workshop Item
| 2023
| IEEE
A PUF based on the non-linearity of memristors - Callum Aitchison, Basel Halak, Alex Serb and Themis Prodromakis
Type: Conference or Workshop Item
| 2023
| IEEE
Minigrid & miniworld: modular & customizable reinforcement learning environments for goal-oriented tasks - Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro and Jordan Terry
Type: Conference or Workshop Item
| 2023
| Neural Information Processing Systems Foundation
Set the standard: benchmarking model-free reinforcement learning market-makers in a multi-agent market simulator - Christopher Jaehoon Cho, Tim Norman and Manuel Nunes
Type: Conference or Workshop Item
| 2023
| Item not available on this server.
Successful swarms: operator situational awareness with modelling and verification at runtime - Yue Gu, William Hunt, Blair Archibald, Mengwei Xu, Michele Sevegnani and Mohammad D. Soorati
Type: Conference or Workshop Item
| 2023
| IEEE
| Item not available on this server.
MADDM: multi-advisor dynamic binary decision-making by maximizing the utility - Zhaori Guo, Timothy Norman and Enrico Gerding
Type: Conference or Workshop Item
| 2023
| International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
| Item availability restricted.
FedTM: Memory and Communication Efficient Federated Learning with Tsetlin Machine - Shannon How Shi Qi, Jagmohan Chauhan, Geoff V. Merrett and Jonathan Hare
Type: Conference or Workshop Item
| 2023
Demonstrating performance benefits of human-swarm teaming - William Hunt, Jack Ryan, Ayodeji O. Abioye, Sarvapali D. Ramchurn and Mohammad D. Soorati
Type: Conference or Workshop Item
| 2023
| International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
| Item availability restricted.
Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates - Rafael Mestre, Stuart E. Middleton, Matt Ryan, Masood Gheasi, Timothy Norman and Jiatong Zhu
Type: Conference or Workshop Item
| 2023
Benchmark evaluation for tasks with highly subjective crowdsourced annotations: Case study in argument mining of political debates - Rafael Mestre, Matt Ryan, Stuart E Middleton, Richard Gomer, Masood Gheasi, Jiatong Zhu and Timothy Norman
Type: Conference or Workshop Item
| 2023
| AAAI Press
| Item availability restricted.
Complex versus real-valued neural networks for audio source localisation using simulated and measured datasets - Vlad Stefan Paul, Jacob Hollebon and Philip Nelson
Type: Conference or Workshop Item
| 2023
Dataset
Type: Dataset
| 2023
| Zenodo
| Item not available on this server.
Type: Dataset
| 2023
| University of Southampton
Type: Dataset
| 2023
| Zenodo
| Item not available on this server.
Type: Dataset
| 2023
| University of Southampton
| Item not available on this server.
Type: Dataset
| 2023
| University of Southampton
Type: Dataset
| 2023
| Zenodo
| Item not available on this server.
Type: Dataset
| 2023
| Zenodo
| Item not available on this server.