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Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data scienceClimate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science
November 6, 2023
Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science

Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science

Food insecurity in sub-Saharan Africa is widespread, with crop yields much lower than in many developed regions. The project aims to use laser spectroscopy to measure fluxes and isotopic composition of N2O from maize and potato crops subjected to a range of fertilization levels.
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Street2Vec | Self-supervised learning unveils change in urban housing from street-level imagesStreet2Vec | Self-supervised learning unveils change in urban housing from street-level images
October 31, 2023
Street2Vec | Self-supervised learning unveils change in urban housing from street-level images

Street2Vec | Self-supervised learning unveils change in urban housing from street-level images

It is difficult to effectively monitor and track progress in urban housing. We attempt to overcome these limitations by utilizing self-supervised learning with over 15 million street-level images taken between 2008 and 2021 to measure change in London.
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Montblanc | Applying data science to enhance resource efficiency in manufacturing processesMontblanc | Applying data science to enhance resource efficiency in manufacturing processes
June 5, 2023
Montblanc | Applying data science to enhance resource efficiency in manufacturing processes

Montblanc | Applying data science to enhance resource efficiency in manufacturing processes

As we endeavor to reduce global CO2 emissions to avoid the worst impacts of climate change, Bühler Group is laying the technical foundations to make real impacts on the industry’s emissions through an innovative approach to optimizing manufacturing operations.
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DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound ImagingDLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
February 28, 2023
DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

Optoacoustic imaging is a new, real-time feedback and non-invasive imaging tool with increasing application in clinical and pre-clinical settings. The DLBIRHOUI project tackles some of the major challenges in optoacoustic imaging to facilitate faster adoption of this technology for clinical use.
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LeafSim | An example-based XAI for decision tree based ensemble methodsLeafSim | An example-based XAI for decision tree based ensemble methods
November 14, 2022
LeafSim | An example-based XAI for decision tree based ensemble methods

LeafSim | An example-based XAI for decision tree based ensemble methods

LeafSim is an example-based explainable AI (XAI) technique for decision tree-based ensemble methods, explaining model predictions by identifying training data points that most influence a given prediction.
Blog
SEMIRAMIS | A new approach to AI-Augmented architectural designSEMIRAMIS | A new approach to AI-Augmented architectural design
November 1, 2022
SEMIRAMIS | A new approach to AI-Augmented architectural design

SEMIRAMIS | A new approach to AI-Augmented architectural design

As the world’s cities continue to grow, land is becoming increasingly scarce. However, open space is vital in urban areas. Semiramis is a new approach to AI-augmented architectural design, allowing designers a quick and easy selection of feasible performance values and a qualitative evaluation of the generated geometries.
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