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ETHNOS_APP

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Eldar Lev-Ran

Datos Biográficos

ID9966038
NOMBREEldar Lev-Ran
NOMBRESEldar
APELLIDOLev-Ran
FIRMALEV-RAN E
AFILIACIONESTechnion – Israel Institute of Technology
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Cross-Domain Travel Mode Detection for Electric Micro-Mobility Using Semi-Supervised Learning

    Open Access•Eldar Lev-Ran, Mirosława Łukawska et al.•ARTICLE•ISPRS International Journal of…•2025

    Electric micro-mobility modes, such as e-scooters and e-bikes, are increasingly used in urban areas, posing challenges for accurate travel mode detection in mobility studies. Traditional supervised learning approaches require large labeled datasets, which are costly and time-consuming to generate. To address this, we propose xSeCA, a semi-supervised convolutional autoencoder that leverages both labeled and unlabeled trajectory data to detect elec…

Sin obras prominentes en esta página.

  • Cross-Domain Travel Mode Detection for Electric Micro-Mobility Using Semi-Supervised Learning

    Open Access•Eldar Lev-Ran, Mirosława Łukawska et al.•ARTICLE•ISPRS International Journal of…•2025

    Electric micro-mobility modes, such as e-scooters and e-bikes, are increasingly used in urban areas, posing challenges for accurate travel mode detection in mobility studies. Traditional supervised learning approaches require large labeled datasets, which are costly and time-consuming to generate. To address this, we propose xSeCA, a semi-supervised convolutional autoencoder that leverages both labeled and unlabeled trajectory data to detect elec…

Autoencoder (1 obra) · Beijing (1 obra) · Convolutional neural network (1 obra) · Generalization (1 obra) · Human Mobility and Location-Based Analysis (1 obra) · Scalability (1 obra) · Supervised Learning (1 obra) · Traffic Prediction and Management Techniques (1 obra) · Transportation Planning and Optimization (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae