Intelligent and Sustainable Aerial-Terrestrial IoT Networks

Informazioni relative al progetto

INITIATE

ID dell’accordo di sovvenzione: 101008297

DOI

10.3030/101008297

Progetto chiuso

Data della firma CE 1 Dicembre 2020

Data di avvio 1 Gennaio 2022

Data di completamento 31 Dicembre 2025

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 952 200,00

Contributo UE

€ 703 800,00

Coordinato da

THE UNIVERSITY OF EXETER
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (21)

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

Autori: Z. Li, G. Min, R. Peng, C. Luo, L. Zhang, C. Luo
Pubblicato in: IEEE Network, Numero 38(2), 2024, Pagina/e 26-34, ISSN 0890-8044
Editore: 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

Autori: César Bartolomé-Hornillos, Luis M. San-José-Revuelta, Javier M. Aguiar-Pérez, Carlos García-Serrada, Eduardo Vara-Pazos, Pablo Casaseca-de-la-Higuera
Pubblicato in: Sensors, Numero 24, 2025, Pagina/e 1822, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s24061822

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

Autori: Jie Gao, Jia Hu, Geyong Min, Fei Hao
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero 36, 2025, Pagina/e 2354-2365, ISSN 1045-9219
Editore: 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

Autori: Jiazhen Zhang, Chunbo Luo, Yuhong Jiang, Geyong Min
Pubblicato in: IEEE Vehicular Technology Magazine, Numero 20, 2025, Pagina/e 83-93, ISSN 1556-6072
Editore: 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

Autori: J. Wang, J. Hu, G. Min, Q. Ni, T. El-Ghazawi
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 22(11), 2023, Pagina/e 6663-6675, ISSN 1536-1233
Editore: 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

Autori: Jia Wu, Chunbo Luo, Geyong Min, Sally McClean
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 73, 2024, Pagina/e 12358-12369, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2024.3383352

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

Autori: J. Mills, J. Hu, G. Min
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero 33(3), 2022, Pagina/e 630-641, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3098467

Smoke detection in images through fractal dimension-based binary classification

Autori: Javier Del-Pozo-Velázquez, Javier Manuel Aguiar-Pérez, Pedro Chamorro-Posada, María Ángeles Pérez-Juárez, Xinheng Wang, Pablo Casaseca-de-la-Higuera
Pubblicato in: Digital Signal Processing, Numero 166, 2025, Pagina/e 105346, ISSN 1051-2004
Editore: Academic Press
DOI: 10.1016/j.dsp.2025.105346

Federated Ensemble Model-based Reinforcement Learning in Edge Computing

Autori: J. Wang, J. Hu, J. Mills, G. Min, M. Xia, N. Georgalas
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero 34(6), 2023, Pagina/e 1848-1859, ISSN 1045-9219
Editore: 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

Autori: Yongchao Zhang, Jia Hu, Geyong Min, Jie Gao, Nektarios Georgalas
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 24, 2025, Pagina/e 5857-5870, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmc.2025.3539496

Federated Learning for Distributed IIoT Intrusion Detection using Transfer Approaches

Autori: J. Zhang, C. Luo, M. Carpenter, G. Min
Pubblicato in: IEEE Transactions on Industrial Informatics, Numero 19(7), 2023, Pagina/e 8159-8169, ISSN 1551-3203
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tii.2022.3216575

Simplifying YOLOv5 for deployment in a real crop monitoring setting

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

Accelerating Federated Learning with a Global Biased Optimiser

Autori: J. Mills, J. Hu, G. Min, R. Jin, S. Zheng, J. Wang
Pubblicato in: IEEE Transactions on Computers, Numero 72(6), 2023, Pagina/e 1804-1814, ISSN 0018-9340
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2022.3212631

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

Autori: Zhenpeng Du, Chunbo Luo, Geyong Min, Jia Wu, Cai Luo, Jian Pu, Shuai Li
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 26, 2025, Pagina/e 14477-14500, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3569500

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

Autori: Rui Jin, Jia Hu, Geyong Min
Pubblicato in: IEEE Transactions on Networking, Numero 34, 2026, Pagina/e 2212-2225, ISSN 2998-4157
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ton.2025.3630314

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

Autori: Siwei Zheng, Jia Hu, Geyong Min, Ke Li
Pubblicato in: IEEE Transactions on Computational Social Systems, Numero 36(11), 2025, Pagina/e 1-12, ISSN 2329-924X
Editore: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2025.3582364

Client-Side Optimization Strategies for Communication-Efficient Federated Learning

Autori: J. Mills, J. Hu, G. Min
Pubblicato in: IEEE Communications Magazine, Numero 60(7), 2022, Pagina/e 60-66, ISSN 0163-6804
Editore: 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

Autori: Patricia Amado-Caballero, Pablo Casaseca-de-la-Higuera, Susana Alberola-López, Jesús María Andrés-de-Llano, José Antonio López-Villalobos, Carlos Alberola-López
Pubblicato in: Artificial Intelligence in Medicine, Numero 143, 2023, Pagina/e 102630, ISSN 0933-3657
Editore: Elsevier BV
DOI: 10.1016/j.artmed.2023.102630

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

Autori: Peisong Li, Xinheng Wang, Changle Li, Muddesar Iqbal, Anwer Al-Dulaimi, Chih-Lin I, Pablo Casaseca-de-la-Higuera
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2025, Pagina/e 1-30, ISSN 1524-9050
Editore: 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

Autori: Peisong Li, Ziren Xiao, Xinheng Wang, Muddesar Iqbal, Pablo Casaseca-de-la-Higuera
Pubblicato in: IEEE Systems Journal, Numero 18, 2024, Pagina/e 1860-1870, ISSN 1932-8184
Editore: 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

Autori: Marco Antonio Zanella, Mikel Barrio-Conde, Jaime Gomez-Gil, Javier Manuel Aguiar-Perez, María Ángeles Pérez-Juárez, Fabio Moreira da Silva
Pubblicato in: Scientia Agricola, Numero 82, 2025, ISSN 1678-992X
Editore: 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

Autori: 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
Pubblicato in: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025, Pagina/e 491-498
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0013141500003911

Online Active Learning For LSTM-Based Network Traffic Prediction

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