
Other
The SDSC contributes with machine learning and AI techniques to enhance projects in the field of architecture, civil engineering and physics.

Projects
ML-Spock
Completed
Machine Learning Supported System for Performance Assessment of Steel Structures Under Extreme Operating Conditions and Management of Risk
Engineering
CHEMSPEC
Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Climate & Environment
Chemistry
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
FastPoints2Mesh
In Progress
Data-Driven Inference of Mesh-based Representations for Deformable Objects from Unstructured Point Clouds
Engineering
PAIRED-HYDRO
Completed
Machine learning for the components fatigue prediction in hydropower generation
Energy & Sustainability
Engineering
SMARTAIR
Completed
Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data
Engineering
MSEI
Completed
Molecular structure elucidation by integrating different data mining strategies
Chemistry
Neuro-choice
Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biology
Case studies
Other domains
Data Science per domain
Our scientists’ expertise is applied daily to a wide variety of domains and applications.
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