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Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition 

INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge) Botache, Diego; Dandan, Liu; Bieshaar, Maarten; Sick, Bernhard
In the future, vulnerable road users (VRUs) such as cyclists and pedestrians will be equipped with smart devices capable of communicating with intelligent vehicles and infrastructure. This allows for cooperation between all traffic participants, such as cooperative intention detection and future trajectory prediction for ...

Software Architecture Best Practices for Enterprise Artificial Intelligence 

INFORMATIK 2020 Martel, Yannick; Roßmann, Arne; Sultanow, Eldar; Weiß, Oliver; Wissel, Matthias; Pelzel, Frank; Seßler, Matthias
AI systems are increasingly evolving from laboratory experiments in data analysis to increments of productive software products. A professional AI platform must therefore not only function as a laboratory environment but must be designed and procured as a workbench for the development, productive implementation, operation ...

The Impact of Domain Knowledge on Applying Machine Learning Methods to Exoplanet Detection 

SKILL 2021 Nguyen, The-Gia Leo
Exoplanets do not emit electromagnetic waves which makes it challenging to detect them. Based on transit photometry, we trained a neural network on NASA Kepler space telescope data to detect exoplanets based on light intensity curves. We showcase, that with a well designed data pipeline, a small neural network is sufficient ...

Towards Augmenting Metadata Management by Machine Learning 

INFORMATIK 2021 Kern, Christopher Julian; Schäffer, Thomas; Stelzer, Dirk
Managing metadata is an important section of master data management. It is a complex, comprehensive and labor-intensive task. This paper explores whether and how metadata management can be augmented by machine learning. We deduce requirements for managing metadata from the literature and from expert interviews. We also ...

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Diese Digital Library basiert auf DSpace.

 

 

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Author

Bieshaar, Maarten (1)Botache, Diego (1)Dandan, Liu (1)Kern, Christopher Julian (1)Martel, Yannick (1)Nguyen, The-Gia Leo (1)Pelzel, Frank (1)Roßmann, Arne (1)Schäffer, Thomas (1)Seßler, Matthias (1)... View More

Subject

Artificial Intelligence (4)
Machine Learning (4)
Astrophysics (1)Cooperative Intention Detection (1)Deep Learning (1)Enterprise Architecture (1)Exoplanets (1)Human Activity Recognition (1)Master Data (1)Metadata Management (1)... View More

Date Issued

2021 (3)2019 (1)

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Yes (4)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.