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GRID score implementation excel file
(2020)This excel file allows to calculate the GRID score for a deep geothermal system as described in Kraft et al. (2020) 'Good Practice Guide for Managing Induced Seismicity in Deep Geothermal Projects in Switzerland' version 2, https://doi.org/10.3929/ethz-b-000453228 .Model -
ROMS+NPZD model data (pt.2): additional data
(2021)These data are derived from the same model run and are intended as complementary to the data stored on: https://www.research-collection.ethz.ch/handle/20.500.11850/278536 (doi: https://doi.org/10.3929/ethz-b-000278536) Files contain surface velocities, fluxes at the edge of the euphotic layer, nutrient content and NCP of the euphotic layer (E.L. = 100 m depth).Model -
GRID score implementation excel file
(2017)This is an outdated document, please use the current version (see link below).Model -
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps
(2023)Scikit-learn/TensorFlow/keras/pyTorch Models to estimate 3D poses (baseline), to infer 3D body parts (DISN), to predict UV coordinates (U-Net), to inpaint (coordinate-based) and enhance textures (autoencoder) of pictorial human figuresModel -
Instance Segmentation, Body Part Parsing, and Pose Estimation of Human Figures in Pictorial Maps
(2023)TensorFlow/keras models and preprocessed data to idenfity silhouettes of human figures on pictorial maps (Mask R-CNN) and to segment body parts and pose points of pictorial human figures (U-Net)Model -
FARMIND
(2020)This is an agent-based model for the simulation of farm level decision-making developed by the Agricultural Economics and Policy Group at ETH Zurich (www.aecp.ethz.ch). The model represents each farm as an agent as well as a node in social networks. Each agent chooses a strategy for perform activities based on the satisfaction and uncertainty about its output. A set of activity options is determined for each agent according to the strategy ...Model -
FARMIND InnoFarm
(2023)The research project InnoFarm evaluated the effectiveness and efficiency of policy programs supporting the adoption of precision agriculture technologies in Swiss agriculture. To do so, we applied the agent-based modelling framework FARMIND (FARM INteraction and Decision Model). This framework was developed by the Agricultural Economics and Policy Group at ETH Zurich (www.aecp.ethz.ch) to simulate farm level decision-making in the context ...Model -
FARMIND AgroCO2ncept
(2023)The research project AgroCO2ncept evaluated the effectiveness and efficiency of policy programs supporting the adoption of greenhouse gas mitigation measures in agriculture. To do so, we applied the agent-based modelling framework FARMIND (FARM INteraction and Decision Model). This framework was developed by the Agricultural Economics and Policy Group at ETH Zurich (www.aecp.ethz.ch) to simulate farm level decision-making in the context ...Model