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Category Archives: projects
HYPER-AI
The HYPER-AI project aims to revolutionize the field of distributed computing by addressing the complexities of integrating Internet of Things (IoT), Edge, and Cloud computing domains. It focuses on the creation of smart virtual computing nodes, optimizing data-processing applications across … Continue reading
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Tagged artificial intelligence, european project, Horizon, hyperai, machine learning, project, research project
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CoORDinance
CoORDinance - Shaping A Code of Conduct Concerning the ORD of the Indoor Positioning Research Field The CoORDinance project aims to develop a comprehensive Code of Conduct for Open Research Data (ORD) in the Indoor Positioning (IP) field, addressing the … Continue reading
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Tagged Code of Conduct, grant, Greg, Grigorios G. Anagostopoulos, IoT positioning, Open Research Data, positioning, project, reproducibility, Swiss Academies of Arts and Sciences
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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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Tagged grant, Greg, Grigorios G. Anagostopoulos, IoT positioning, Open Research Data, ORD, positioning, reproducibility, research project, SwissUniversities
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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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Tagged generative modeling, graph network, machine learning, research project, snsf
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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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Tagged Bridge Defect Detection, Contrastive Learning, innossuise, LeanBI, machine learning, research project, Self-supervised learning
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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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Tagged machine learning, research project, snsf
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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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Tagged machine learning, Naoya Takeshi, research project, snsf
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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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Tagged Contrastive Learning, earth observation, Horizon, Learned Compression, project, research project, Self-supervised learning
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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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Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project
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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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Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project, snsf, VAE
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