Monthly Archives: October 2019

Paper about LoRaWAN localization presented in WPNC

Our paper "A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN" was presented by Grigorios Anagnostopoulos, in the 16th IEEE Workshop on Positioning, Navigation and Communications (WPNC 2019), in Bremen, Germany. The scope of the WPNC contributions this year ranged from IoT and 5G positioning, to autonomous car localisation using LiDAR descriptors. The strive for more transparent and reproducible research in the field, which Greg promotes in his paper, was well appreciated by the community.

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MEDInA: sMart EDge fabric for Iot Applications

MEDInA is an Innosuisse project, enabling the creation of low cost IoT self-adaptive Machine Learning based applications by developing an Artificial-Intelligence-as-a-Service (AIaaS) framework. Current work by the DMML team includes partnering with SixSq in order to develop an AI solution that runs on edge devices such as a Raspberry Pi 4, providing traffic volume information monitoring, to be used for adaptive smart lighting in Smart Cities.

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TechLunch – meeting industry

In cooperation with the Geneva Creativity Center we're organizing on 22nd October 2019 a TechLunch to  discuss with companies in the Geneva region what machine learning can bring to them. It is an occasion for anybody interested in applying machine … Continue reading

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Paper presentation in IPIN 2019

Grigorios Anagnostopoulos presented the paper "A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning" in the 10th edition of the Indoor Positioning and Indoor Navigation (IPIN) conference. Attending this conference offered a great opportunity … Continue reading

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