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CORDIS - EU research results
CORDIS

Intelligent and Sustainable Aerial-Terrestrial IoT Networks

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (DMP) (opens in new window)

This deliverable will define what data will be open for verification and reuse and how it will be curated and preserved and specify which datasets remain closed in order to take part in the Pilot on Open Research Data RRDP

Publications

Ubiquitous and Robust UxV Networks: Overviews, Solutions, Challenges, and Opportunities (opens in new window)

Author(s): Z. Li, G. Min, R. Peng, C. Luo, L. Zhang, C. Luo
Published in: IEEE Network, Issue 38(2), 2024, Page(s) 26-34, ISSN 0890-8044
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mnet.2024.3352691

A Self-Adaptive Automatic Incident Detection System for Road Surveillance Based on Deep Learning (opens in new window)

Author(s): César Bartolomé-Hornillos, Luis M. San-José-Revuelta, Javier M. Aguiar-Pérez, Carlos García-Serrada, Eduardo Vara-Pazos, Pablo Casaseca-de-la-Higuera
Published in: Sensors, Issue 24, 2025, Page(s) 1822, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s24061822

Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach (opens in new window)

Author(s): J. Wang, J. Hu, G. Min, Q. Ni, T. El-Ghazawi
Published in: IEEE Transactions on Mobile Computing, Issue 22(11), 2023, Page(s) 6663-6675, ISSN 1536-1233
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmc.2022.3197706

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing (opens in new window)

Author(s): J. Mills, J. Hu, G. Min
Published in: IEEE Transactions on Parallel and Distributed Systems, Issue 33(3), 2022, Page(s) 630-641, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3098467

Federated Ensemble Model-based Reinforcement Learning in Edge Computing (opens in new window)

Author(s): J. Wang, J. Hu, J. Mills, G. Min, M. Xia, N. Georgalas
Published in: IEEE Transactions on Parallel and Distributed Systems, Issue 34(6), 2023, Page(s) 1848-1859, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2023.3264480

Federated Learning for Distributed IIoT Intrusion Detection using Transfer Approaches (opens in new window)

Author(s): J. Zhang, C. Luo, M. Carpenter, G. Min
Published in: IEEE Transactions on Industrial Informatics, Issue 19(7), 2023, Page(s) 8159-8169, ISSN 1551-3203
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tii.2022.3216575

Simplifying YOLOv5 for deployment in a real crop monitoring setting (opens in new window)

Author(s): Emmanuel C. Nnadozie, Pablo Casaseca‑de‑la‑Higuera, Ogechukwu Iloanusi, Ozoemena Ani, Carlos Alberola‑López
Published in: Multimedia Tools and Applications, 2023, ISSN 1380-7501
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11042-023-17435-x

Accelerating Federated Learning with a Global Biased Optimiser (opens in new window)

Author(s): J. Mills, J. Hu, G. Min, R. Jin, S. Zheng, J. Wang
Published in: IEEE Transactions on Computers, Issue 72(6), 2023, Page(s) 1804-1814, ISSN 0018-9340
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2022.3212631

Client-Side Optimization Strategies for Communication-Efficient Federated Learning (opens in new window)

Author(s): J. Mills, J. Hu, G. Min
Published in: IEEE Communications Magazine, Issue 60(7), 2022, Page(s) 60-66, ISSN 0163-6804
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mcom.005.210108

Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups (opens in new window)

Author(s): Patricia Amado-Caballero, Pablo Casaseca-de-la-Higuera, Susana Alberola-López, Jesús María Andrés-de-Llano, José Antonio López-Villalobos, Carlos Alberola-López
Published in: Artificial Intelligence in Medicine, Issue 143, 2023, Page(s) 102630, ISSN 0933-3657
Publisher: Elsevier BV
DOI: 10.1016/j.artmed.2023.102630

Deep Reinforcement Learning-Based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey (opens in new window)

Author(s): Peisong Li, Xinheng Wang, Changle Li, Muddesar Iqbal, Anwer Al-Dulaimi, Chih-Lin I, Pablo Casaseca-de-la-Higuera
Published in: IEEE Transactions on Intelligent Transportation Systems, 2025, Page(s) 1-30, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3607910

Multiagent Reinforcement Learning-Based Multimodel Running Latency Optimization in Vehicular Edge Computing Paradigm (opens in new window)

Author(s): Peisong Li, Ziren Xiao, Xinheng Wang, Muddesar Iqbal, Pablo Casaseca-de-la-Higuera
Published in: IEEE Systems Journal, Issue 18, 2024, Page(s) 1860-1870, ISSN 1932-8184
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsyst.2024.3407213

Optimization of a Deep-Learning-Based Cough Detector Using eXplainable Artificial Intelligence for Implementation on Mobile Devices (opens in new window)

Author(s): P. Amado-Caballero, I Varona-Peña, B. Gutiérrez-García, J. Aguiar-Pérez, M. Rodriguez-Cayetano, J. Gomez-Gil, J. Garmendia-Leiza, P. Casaseca-De-la-higuera
Published in: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025, Page(s) 491-498
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0013141500003911

Online Active Learning For LSTM-Based Network Traffic Prediction (opens in new window)

Author(s): Pablo Casaseca-de-la-Higuera, Javier M. Aguiar, Patricia Amado-Caballero, Antonio J. Morgado, Joana da Silva Moreira, Chunbo Luo, Xinheng Wang
Published in: 2025 International Conference on Software, Knowledge, Information Management & Applications (SKIMA), 2025, Page(s) 1-5
Publisher: IEEE
DOI: 10.1109/skima66621.2025.11155629

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