An Energy-Efficient AI Powered Portable Radar System for Human Activity Recognition

Informazioni relative al progetto

AIRHAR

ID dell’accordo di sovvenzione: 101107534

DOI

10.3030/101107534

Progetto chiuso

Data della firma CE 13 Maggio 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 203 464,32

Coordinato da

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

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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

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Pubblicazioni

Conference proceedings (2)

SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization

Autori: Manno Versluis, Yizhuo Wu, Chang Gao
Pubblicato in: 35th International Conference on Field-Programmable Logic and Applications, 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2506.16591

TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion

Autori: Huanqiang Duan, Manno Versluis, Qinyu Chen, Leo C. N. de Vreede, Chang Gao
Pubblicato in: 2025 IEEE/MTT-S International Microwave Symposium - IMS 2025, 2025
Editore: IEEE
DOI: 10.1109/IMS40360.2025.11103923