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Recent Submissions
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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 -
Unsupervised Continual Semantic Adaptation Through Neural Rendering - pre-trained checkpoint
(2023)This is the pre-trained DeepLabv3 checkpoint used in the experiments for the publication "Unsupervised Continual Semantic Adaptation Through Neural Rendering". Cf. https://github.com/ethz-asl/ucsa_neural_rendering/tree/main#deeplabv3-pre-training.Model -
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Ground motion and macroseismic intensity soil amplification maps for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations
(2023)This dataset constitutes the soil amplification model for Switzerland presented in the scientific paper “A site amplification model for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations”, by Paolo Bergamo, Donat Fäh, Francesco Panzera, Carlo Cauzzi, Franziska Glueer, Vincent Perron, Stefan Wiemer, published on “Bulletin of Earthquake Engineering”. The amplification model was ...Model -
Supplementary materials to: "Printing homes: Unit cost estimation for additive manufacturing in construction"
(2023)Assessing unit costs is crucial for a company's profitability. Recent technological advances in manufacturing may be beneficial for the construction sector, but unit cost assessments are challenging. We propose a deterministic model to assess costs for 3D printed concrete components. The results indicate economies of scale can be achieved. Such findings may help technology suppliers and buyers to make better decisions, eventually increasing ...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