Intelligent and Sustainable Aerial-Terrestrial IoT Networks

Informations projet

INITIATE

N° de convention de subvention: 101008297

DOI

10.3030/101008297

Projet clôturé

Date de signature de la CE 1 Decembre 2020

Date de début 1 Janvier 2022

Date de fin 31 Decembre 2025

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 952 200,00

Contribution de l’UE

€ 703 800,00

Coordonné par

THE UNIVERSITY OF EXETER
United Kingdom

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Open Research Data Pilot (1)

Data Management Plan (DMP)

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

Peer reviewed articles (21)

Ubiquitous and Robust UxV Networks: Overviews, Solutions, Challenges, and Opportunities

Auteurs: Z. Li, G. Min, R. Peng, C. Luo, L. Zhang, C. Luo
Publié dans: IEEE Network, Numéro 38(2), 2024, Page(s) 26-34, ISSN 0890-8044
Éditeur: 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

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

XDGNN: Efficient Distributed GNN Training via Explanation-Guided Subgraph Expansion

Auteurs: Jie Gao, Jia Hu, Geyong Min, Fei Hao
Publié dans: IEEE Transactions on Parallel and Distributed Systems, Numéro 36, 2025, Page(s) 2354-2365, ISSN 1045-9219
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2025.3609152

Security in 6G-Based Autonomous Vehicular Networks: Detecting Network Anomalies With Decentralized Federated Learning

Auteurs: Jiazhen Zhang, Chunbo Luo, Yuhong Jiang, Geyong Min
Publié dans: IEEE Vehicular Technology Magazine, Numéro 20, 2025, Page(s) 83-93, ISSN 1556-6072
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mvt.2024.3520907

Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach

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

Formation Control Algorithms for Multi-UAV Systems With Unstable Topologies and Hybrid Delays

Auteurs: Jia Wu, Chunbo Luo, Geyong Min, Sally McClean
Publié dans: IEEE Transactions on Vehicular Technology, Numéro 73, 2024, Page(s) 12358-12369, ISSN 0018-9545
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2024.3383352

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

Auteurs: J. Mills, J. Hu, G. Min
Publié dans: IEEE Transactions on Parallel and Distributed Systems, Numéro 33(3), 2022, Page(s) 630-641, ISSN 1045-9219
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3098467

Smoke detection in images through fractal dimension-based binary classification

Auteurs: Javier Del-Pozo-Velázquez, Javier Manuel Aguiar-Pérez, Pedro Chamorro-Posada, María Ángeles Pérez-Juárez, Xinheng Wang, Pablo Casaseca-de-la-Higuera
Publié dans: Digital Signal Processing, Numéro 166, 2025, Page(s) 105346, ISSN 1051-2004
Éditeur: Academic Press
DOI: 10.1016/j.dsp.2025.105346

Federated Ensemble Model-based Reinforcement Learning in Edge Computing

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

Real-Time Distributed Charging Station Recommendation for Electric Vehicles: A Federated Meta-RL Approach

Auteurs: Yongchao Zhang, Jia Hu, Geyong Min, Jie Gao, Nektarios Georgalas
Publié dans: IEEE Transactions on Mobile Computing, Numéro 24, 2025, Page(s) 5857-5870, ISSN 1536-1233
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmc.2025.3539496

Federated Learning for Distributed IIoT Intrusion Detection using Transfer Approaches

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

Simplifying YOLOv5 for deployment in a real crop monitoring setting

Auteurs: Emmanuel C. Nnadozie, Pablo Casaseca‑de‑la‑Higuera, Ogechukwu Iloanusi, Ozoemena Ani, Carlos Alberola‑López
Publié dans: Multimedia Tools and Applications, 2023, ISSN 1380-7501
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11042-023-17435-x

Accelerating Federated Learning with a Global Biased Optimiser

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

A Survey on Autonomous and Intelligent Swarms of Uncrewed Aerial Vehicles (UAVs)

Auteurs: Zhenpeng Du, Chunbo Luo, Geyong Min, Jia Wu, Cai Luo, Jian Pu, Shuai Li
Publié dans: IEEE Transactions on Intelligent Transportation Systems, Numéro 26, 2025, Page(s) 14477-14500, ISSN 1524-9050
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3569500

Robust and Fair Federated Learning Based on Model-Agnostic Shapley Value

Auteurs: Rui Jin, Jia Hu, Geyong Min
Publié dans: IEEE Transactions on Networking, Numéro 34, 2026, Page(s) 2212-2225, ISSN 2998-4157
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ton.2025.3630314

Meta Representation-Based Personalized Federated Continual Learning in Edge Computing Systems

Auteurs: Siwei Zheng, Jia Hu, Geyong Min, Ke Li
Publié dans: IEEE Transactions on Computational Social Systems, Numéro 36(11), 2025, Page(s) 1-12, ISSN 2329-924X
Éditeur: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2025.3582364

Client-Side Optimization Strategies for Communication-Efficient Federated Learning

Auteurs: J. Mills, J. Hu, G. Min
Publié dans: IEEE Communications Magazine, Numéro 60(7), 2022, Page(s) 60-66, ISSN 0163-6804
Éditeur: 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

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

Deep Reinforcement Learning-Based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey

Auteurs: Peisong Li, Xinheng Wang, Changle Li, Muddesar Iqbal, Anwer Al-Dulaimi, Chih-Lin I, Pablo Casaseca-de-la-Higuera
Publié dans: IEEE Transactions on Intelligent Transportation Systems, 2025, Page(s) 1-30, ISSN 1524-9050
Éditeur: 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

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

Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process

Auteurs: Marco Antonio Zanella, Mikel Barrio-Conde, Jaime Gomez-Gil, Javier Manuel Aguiar-Perez, María Ángeles Pérez-Juárez, Fabio Moreira da Silva
Publié dans: Scientia Agricola, Numéro 82, 2025, ISSN 1678-992X
Éditeur: FapUNIFESP (SciELO)
DOI: 10.1590/1678-992x-2024-0156

Conference proceedings (2)

Optimization of a Deep-Learning-Based Cough Detector Using eXplainable Artificial Intelligence for Implementation on Mobile Devices

Auteurs: 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
Publié dans: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025, Page(s) 491-498
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0013141500003911

Online Active Learning For LSTM-Based Network Traffic Prediction

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