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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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Group by: No Grouping | Authors/Creators | Item Type
Number of items: 29.

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

Type: Article | 2023

Type: Article | 2023

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

Book Section

Pragmatic distributed algorithm for multi-carrier cooperative NOMA - Harry Horler, Baharak Rastegari and Soon Xin Ng
Type: Book Section | 2023 | Item not available on this server.

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

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.

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.

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.

This list was generated on Tue Dec 17 01:50:15 2024 GMT.
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