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Jianjun Ge

Datos Biográficos

ID5437643
NOMBREJianjun Ge
NOMBRESJianjun
APELLIDOGe
FIRMAGE J
AFILIACIONESOklahoma State University
ORCID0000-0002-5354-244X
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS8
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2007
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H2
  • Efficient Core-Selecting Incentive Mechanism for Data Sharing in Federated Learning

    Open Access•Mengda Ji, Genjiu Xu et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Federated learning is a distributed machine learning system that uses participants’ data to train an improved global model. In federated learning, participants collaboratively train a global model, and after the training is completed, each participant receives that global model along with an incentive. Rational participants try to maximize their individual utility, and they will not input their high-quality data truthfully unless they are provide…

  • From primary data to formalized decision-making

    Open Access•Meike Will, B Bartkowski et al.•ARTICLE•Conservation Ecology•2024

    Model-based analyses can effectively contribute to investigating leverage points for sustainability transformations in agriculture. They allow for a systematic evaluation of policies under changing environmental, economic, or institutional conditions, and can be used to assess the effectiveness and efficiency of different policy designs. For analyzing agricultural systems, agent-based modeling is particularly useful because it can represent indiv…

  • The spatial restructuring and determinants of industrial landscape in a mega city under rapid urbanization

    Open Access•Peilei Fan, Wenze Yue et al.•ARTICLE•Habitat International•2020•Citada por: 3•Referencias: 36

  • Changing Surface Conditions at Kilimanjaro Indicated from Multiscale Imagery

    Open Access•Nathan Torbick, Jianjun Ge et al.•ARTICLE•Mountain Research and Development•2009

    The shrinking glacier atop Kilimanjaro has received much attention as it is one of the few remaining tropical glaciers in the world. Physical drivers ranging from changes in temperature and humidity to shifts in cloud coverage and radiation have been attributed to reducing the ice mass. Studies have utilized varying methods and often use point data sources that tend to be spatially and temporally poor in the region. The objective of this study wa…

  • Integrating diverse methods to understand climate–land interactions in East Africa

    Open Access•J Olson, Jennifer M Olson et al.•ARTICLE•Geoforum•2007•Citada por: 5•Referencias: 2

  • Integrating diverse methods to understand climate–land interactions in East Africa

    Open Access•J Olson, Jennifer M Olson et al.•ARTICLE•Geoforum•2007•Citada por: 5•Referencias: 2

  • The spatial restructuring and determinants of industrial landscape in a mega city under rapid urbanization

    Open Access•Peilei Fan, Wenze Yue et al.•ARTICLE•Habitat International•2020•Citada por: 3•Referencias: 36

  • Integrating diverse methods to understand climate–land interactions in East Africa

    Open Access•J Olson, Jennifer M Olson et al.•ARTICLE•Geoforum•2007•Citada por: 5•Referencias: 2

  • Changing Surface Conditions at Kilimanjaro Indicated from Multiscale Imagery

    Open Access•Nathan Torbick, Jianjun Ge et al.•ARTICLE•Mountain Research and Development•2009

    The shrinking glacier atop Kilimanjaro has received much attention as it is one of the few remaining tropical glaciers in the world. Physical drivers ranging from changes in temperature and humidity to shifts in cloud coverage and radiation have been attributed to reducing the ice mass. Studies have utilized varying methods and often use point data sources that tend to be spatially and temporally poor in the region. The objective of this study wa…

  • The spatial restructuring and determinants of industrial landscape in a mega city under rapid urbanization

    Open Access•Peilei Fan, Wenze Yue et al.•ARTICLE•Habitat International•2020•Citada por: 3•Referencias: 36

  • Efficient Core-Selecting Incentive Mechanism for Data Sharing in Federated Learning

    Open Access•Mengda Ji, Genjiu Xu et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Federated learning is a distributed machine learning system that uses participants’ data to train an improved global model. In federated learning, participants collaboratively train a global model, and after the training is completed, each participant receives that global model along with an incentive. Rational participants try to maximize their individual utility, and they will not input their high-quality data truthfully unless they are provide…

  • From primary data to formalized decision-making

    Open Access•Meike Will, B Bartkowski et al.•ARTICLE•Conservation Ecology•2024

    Model-based analyses can effectively contribute to investigating leverage points for sustainability transformations in agriculture. They allow for a systematic evaluation of policies under changing environmental, economic, or institutional conditions, and can be used to assess the effectiveness and efficiency of different policy designs. For analyzing agricultural systems, agent-based modeling is particularly useful because it can represent indiv…

Geography (3 obras) · Climate change (2 obras) · Computer Science (2 obras) · Ecology (2 obras) · Economics (2 obras) · Environmental resource management (2 obras) · Environmental Science (2 obras) · Land use (2 obras) · Land Use and Ecosystem Services (2 obras) · Physical geography (2 obras)

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