Data Science Projects
Our Collaborative Data Science Projects represent the diversity of the research and innovation undertaken in data science and AI within the ETH Domain, with scientific partners and with private and public sector stakeholders.
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DLBIRHOUI
Completed
Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Health & Biomedical
BioDetect
Completed
Deep Learning for Biodiversity Detection and Classification
Climate & Environment
SenseDynamics
Completed
Predicting aerodynamics forces from sensor data
Engineering
Physics
EXPECT
Completed
EXtending the PrEdiCTability of the Atmosphere over Europe
Climate & Environment
COVID-19
Completed
Epidemic Forecasting
Health & Biomedical
Digital Society
DeepEphys
Completed
Using machine learning for biomarker discovery in human iPSC neuronal networks
Health & Biomedical
DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Climate & Environment
TAPEDA
Completed
Towards Automated Post-Earthquake Damage Assessment
Climate & Environment
DEAPSnow
Completed
Improving snow avalanche forecasting by data-driven automated predictions
Climate & Environment
SysGen
Systems Genetics
Biology
MSEI
Completed
Molecular structure elucidation by integrating different data mining strategies
Chemistry
EconMultiplex
Completed
Multiplex Networks in International Trade
Digital Society
PACMAN HIPA
Completed
Particle Accelerators and Machine Learning
Large-scale Infrastructures
PACMAN LHC
Completed
Particle Accelerators and Machine Learning
Large-scale Infrastructures
Neuro-choice
Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biology
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Climate & Environment
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