Model
Recent Submissions
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Ground motion soil amplification maps for pseudo-spectral acceleration at periods of 0.2 and 0.4 s
(2025)This dataset contains the ground motion soil amplification maps for Switzerland presented in the conference contribution “Modelling soil response at the national scale for Switzerland in the framework of risk assessment of induced seismicity”, by Paolo Bergamo and coauthors, presented at the EGU General Assembly 2025 (https://doi.org/10.5194/egusphere-egu25-8121). The soil amplification maps were developed in the framework of the project ...Model -
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Scripts for the article "Extended range forecasting of stream water temperature with deep learning models"
(2025)Scripts for data processing and plotting.Model -
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Solar Water Heater Modeling for Fecal Sludge Pasteurization
(2024)This repository contains the python notebooks and the data, used by Tim-Luan Grimont, to complete his master thesis on "Solar Pasteurization for Anaerobic Digestion Sludge" in 2024 at Global Health Engineering at ETH Zürich. Solar pasteurization is a sanitation technology that utilizes solar energy to heat sludge beyond the survival threshold of pathogens. Effective pasteurization requires both high temperatures and sufficient holding ...Model -
FARMIND Synthesis
(2024)Behavioral factors have been identified to determine farmers' uptake of the adoption of sustainable farming practices. However, the coherent consideration of empirically identified behavioral factors in ex-ante model-based policy assessments is still rare. This study presents an agent-based modelling framework that integrates empirical data on farmers' cognitive, social, and dispositional characteristics. Using this framework, we test and ...Model -
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Panoptic Vision-Language Feature Fields - pre-trained checkpoints
(2024)This file contains the pre-trained model checkpoints used in the experiments on the Replica dataset for the publication "Panoptic Vision-Language Feature Fields". Cf. https://github.com/ethz-asl/pvlff.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 -
Detection of Pictorial Map Objects with Convolutional Neural Networks
(2023)keras/TensorFlow models and preprocessed data to classify maps and non-maps (Xception and InceptionResNetV2), to classify pictorial maps and non-pictorial maps (Xception and InceptionResNetV2) as well as to detect sailing ships on historic maps (Faster R-CNN and RetinaNet)Model