Category Archives: projects

CoORDinates

CoORDinates – Towards a Consensus-based ORD Standard for the Indoor Positioning Community The community of indoor positioning research has identified the need for a paradigm shift towards more reproducible and open research. Over the last years, a slowly increasing tendency … Continue reading

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Learning generative models for molecules

Drug discovery is a well-known and challenging problem. Typically, one needs to navigate through a vast chemical space of up to \( 10^{60} \) small organic molecules to find a potential drug candidate with desired properties. Such a trial-and-error process … Continue reading

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Automated Bridge Defect Recognition

Infrastructure assets, such as bridges, need to be inspected regularly. Our objective is to reduce the need for human involvement, minimize risks to health and safety, decrease the impact of subjective engineering assessments, digitize asset management, and promote sustainable inspection … Continue reading

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MIGRATE – A Multidisciplinary and InteGRated Approach for geoThermal Exploration

To mitigate climate change, our society must reduce its carbon footprint coming from fossil fuel energies and favor green energy solutions instead. Geothermal energy is a resource this available in abundance. However, the development of this sector is hindered by … Continue reading

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Interpretable Condition Monitoring for Complex Engineering Systems

Just as it is important for us to monitor our own body in order to maintain good health, we should have an accurate understanding of the state of engineering systems in order to prevent failures. In this project, entitled "Interpretable … Continue reading

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EO4EU: AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation

A vast amount of Earth Observation (EO) data is produced daily and made available through online services and repositories. Contemporary and historical data can be retrieved and used to power existing applications, to foster innovation and finally improve the EU … Continue reading

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LiBertaS: Enhancing Location Based Services by tackling the market barrier of costly data collection requirements of fingerprinting positioning systems

LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. Location Based Services (LBS) have recently undergone a tremendous increase … Continue reading

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Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods

Eratosthenes is a research project funded under the Spark funding scheme of the Swiss National Science Foundation (SNSF). The aim of the Spark is to fund postdoctoral researchers to implement "projects that show unconventional thinking and introduce a unique approach". The relevant criteria for the award … Continue reading

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IAI: Industrial Artificial Intelligence for intelligent machines and manufacturing digitalization

IAI is an Innosuisse project, funded under the joint call in which partners from South Korea and Switzerland are invited to collaborate. At the Swiss side of the consortium, our team collaborates with ABB, a pioneering technology leader with a … Continue reading

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Rawfie: Road-, Air-, and Water- based Future Internet Experimentation

RAWFIE (Road-, Air-, and Water- based Future Internet Experimentation) is a project funded by the European Commission (Horizon H2020 program) under the Future Internet Research Experimentation (FIRE+) initiative that aims at providing research facilities for Internet of Things (IoT) devices. The DMML team has been involved in the RAWFIE project since early 2015 and delivered their final contributions in June 2019 as the the project ended. The members of the team invested in the project, Jason and Lionel, were responsible for the design and development of the platform's data analysis tools, enabling experimenters to apply machine learning algorithms on data collected via the platform's unmanned devices.

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