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Adaptative Segmentation and Tracking of Embryonic Cells (developer version, python code only)
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ConnectionLens ingests heterogeneous data sources (JSON, XML, HTML, CSV, RDF, relational databases, text files, PDF) into a single, integrated graph. It stores these graphs and allows querying them using keywords, and connecting them through a GUI.
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Find Inventors and Discovery Game by Inria Unity "Game" in VR (oculus) for homo numericus exibition
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ConnectionStudio integrates highly heterogeneous data into graphs, enriched with extracted entities. Studio users can discover the entities in their data, navigate across connections between datasets, explore and query the data in many ways. The Studio currently supports: CSV, JSON, XML, RDF, text, property graphs, all Office formats, and PDF datasets.
For more information, see: https://connectionstudio.inria.fr
The scientific publications behind the platform: https://team.inria.fr/cedar/connectionlens/
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A wireless sensor setup with MSP430FR5969. Communicates through RF (nFR24L01+) and sense accelerometer data (ADXL345).
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STM32 LoRaWAN SDK for the USI I-NUCLEO Development Kit
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Transmorpher is a software environment for defining and processing complex transformations of XML documents.
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This is a package script that install all the BioImageIT tools in one directory
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Elster is an ontology-based picture annotation sharing system. It is used as a testbed to demonstrate original features such as lightweight ontology alignment and knowledge+social network analysis.
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