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Visualization and Machine Learning for Data Center Management 

INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge) Chircu, Alina; Sultanow, Eldar; Baum, David; Koch, Christian; Seßler, Matthias
In this paper, we present a novel tool for data center management that incorporates data visualization and machine learning capabilities. We developed the tool in the context of an action design research project conducted at a large government agency in Germany, which hosts three highly available data centers containing ...

Increasing Reliability in FDM Manufacturing 

INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge) Heider, Michael
Additive Manufacturing machines following the Fused Deposition Modelling process can rapidly produce wide varieties of parts. A 3D computer model is divided into instructions the FDM machine uses to produce the part layer by layer. Numerous parameters can be modified to improve the instructions generated and extensive ...

Averaging rewards as a first approach towards Interpolated Experience Replay 

INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge) Pilar von Pilchau, Wenzel
Reinforcement learning and especially deep reinforcement learning are research areas which are getting more and more attention. The mathematical method of interpolation is used to get information of data points in an area where only neighboring samples are known and thus seems like a good expansion for the experience ...

Integration of Services for Software Development in DH: A Case Study of Image Classification using Convolutional Neural Networks 

INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge) Niebling, Florian; Haas, Michael; Blessing, Andre´
This paper presents a case study of integrating RESTful web services for software development in the Digital Humanities. Journalists today are able to utilize huge amounts of image data to illustrate their articles. To provide easy access, image databases need to be structured and photographic documents stored within ...

Using data to improve programming instruction 

DeLFI 2018 - Die 16. E-Learning Fachtagung Informatik Öztürk, Alisan; Bonfert-Taylor, Petra; Fügenschuh, Armin
Programming classes are difficult by nature and educators are eager to find ways to deal with high dropout rates. Today’s technologies allow us to capture programming-related student data, which can be used to identify students in need of assistance and in getting insights in student learning. In order to assist novice ...

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 ...

Themenübergreifende Diskursklassifikation auf Basis von Word Embeddings und Sequenzfeatures 

DELFI 2019 Steuer, Tim; Rensing, Christoph
Zur Beobachtung von kollaborativen Lernprozessen ist Diskursanalyse ein hilfreiches Werkzeug. Dazu wird der Textkorpus von Annotatoren händisch segmentiert und die Segmente nach ihrer Funktion klassifiziert. Dies ist zeitaufwendig und kostspielig. Automatische Modelle versprechen Zeitersparnis sowie Echtzeitanalysen des ...

Predicting How to Test Requirements: An Automated Approach 

Software Engineering 2020 Winkler, Jonas; Grönberg, Jannis; Vogelsang, Andreas
An important task in requirements engineering is to identify and determine how to verify a requirement (eg., by manual review, testing, or simulation; also called \emphpotential verification method). This information is required to effectively create test cases and verification plans for requirements. In this paper, ...

Investigating Next Steps in Static API-Misuse Detection 

Software Engineering 2020 Amann, Sven; Nguyen, Hoan Anh; Nadi, Sarah; Nguyen, Tien N.; Mezini, Mira

Sensorfusion für landwirtschaftliche Applikationen 

Informatik in der Land-, Forst- und Ernährungswirtschaft 2017 Peschak, Bernhard; Wöber, Wilfried; Otrebski, Richard; Sulz, Clemens; Thalhammer, 
Stefan
Moderne Zugmaschinen und landwirtschaftliche Anbaugeräte liefern immense Mengen an Daten. Die internen Sensoren moderner Maschinen erlauben die Verbesserung einzelne, von der Maschine durchgeführter, Prozesse. Eine übergeordnete Betrachtung der landtechnischen Aufgaben und der damit verbundenen globalen Betrachtung ...
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Author

Ruckelshausen, Arno (2)Seßler, Matthias (2)Sultanow, Eldar (2)Wagner, Martin (2)Amann, Sven (1)Autz, Julius (1)Barth, Florian (1)Baum, David (1)Becker, Jürgen (1)Becker, Christian (1)... View More

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Machine Learning (46)
Artificial Intelligence (4)Neural Networks (4)Deep Learning (3)Natural Language Processing (3)Big Data (2)Data Science (2)Datenschutz (2)Industrial Internet of Things (2)IoT (2)... View More

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2021 (19)2019 (11)2017 (5)2020 (5)2022 (3)2018 (2)2015 (1)

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About uns | FAQ | Help | Imprint | Datenschutz

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