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    <title>Fordatis Sammlung:</title>
    <link>https://fordatis.fraunhofer.de/handle/fordatis/10</link>
    <description />
    <pubDate>Thu, 30 Apr 2026 21:14:23 GMT</pubDate>
    <dc:date>2026-04-30T21:14:23Z</dc:date>
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      <title>PackWISE: Packaging Waste Instance Segmentation Dataset for Model Training and Evaluation</title>
      <link>https://fordatis.fraunhofer.de/handle/fordatis/463.2</link>
      <description>Titel: PackWISE: Packaging Waste Instance Segmentation Dataset for Model Training and Evaluation
Datenautorinnen und Datenautoren: Roming, Lukas; Rüger, Steffen; Kalb, Michael; Beutler, Frederik
Zusammenfassung: The dataset comprises 586 RGB images of post-consumer lightweight packaging waste captured on a conveyor belt. Annotations follow the COCO format. The samples were kindly provided by a recycling plant of Lobbe RSW GmbH in Iserlohn, Germany. Samples were recorded as received, with adherent contaminants and without pretreatment.&#xD;
This dataset is part of the multi-sensor-dataset of the project K3I-Cycling and funded by the Federal Ministry of Research, Technology and Space (BMFTR), Germany under the funding reference 033KI201.</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://fordatis.fraunhofer.de/handle/fordatis/463.2</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
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      <title>Bringing Light into the Darkness: Leveraging Hidden Markov Models for Blackbox Fuzzing</title>
      <link>https://fordatis.fraunhofer.de/handle/fordatis/436</link>
      <description>Titel: Bringing Light into the Darkness: Leveraging Hidden Markov Models for Blackbox Fuzzing
Datenautorinnen und Datenautoren: Borcherding, Anne; Giraud, Mark Leon; Häring, Johannes
Zusammenfassung: Complementary data for the paper "Bringing Light into the Darkness: Leveraging Hidden Markov Models for Blackbox Fuzzing" published at the 6th ACM/IEEE International Conference on Automation of Software Test (AST 2025). A Jupyter notebook for visualizing the data can be found here: https://github.com/anneborcherding/palpebratum</description>
      <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://fordatis.fraunhofer.de/handle/fordatis/436</guid>
      <dc:date>2025-04-01T00:00:00Z</dc:date>
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    <item>
      <title>Energy Consumption of Production System in SmartFactoryOWL over four days (07.11.2023 to 10.11.2023).</title>
      <link>https://fordatis.fraunhofer.de/handle/fordatis/432</link>
      <description>Titel: Energy Consumption of Production System in SmartFactoryOWL over four days (07.11.2023 to 10.11.2023).
Datenautorinnen und Datenautoren: Arbesun Perez, Nissrin; Zelba, Franziska
Zusammenfassung: The system is an injection molding production facility that is operated in the SmartFactoryOWL living lab. Plastic cups are produced in a two-cavity mold. The injection molding production consists of an injection molding machine, granulate drying, temperature regulation, cooling, laser marking and robotics. The data set contains energy consumption of the complete system over four days of production (07.11.2023 to 10.11.2023). Two energy strings are included in the data set, as well as the total energy consumption</description>
      <pubDate>Sat, 01 Mar 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://fordatis.fraunhofer.de/handle/fordatis/432</guid>
      <dc:date>2025-03-01T00:00:00Z</dc:date>
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    <item>
      <title>PV data of SmartFactoryOWL over one week  (25.11.2024 to 01.12.2024)</title>
      <link>https://fordatis.fraunhofer.de/handle/fordatis/433</link>
      <description>Titel: PV data of SmartFactoryOWL over one week  (25.11.2024 to 01.12.2024)
Datenautorinnen und Datenautoren: Arbesun Perez, Nissrin; Zelba, Franziska
Zusammenfassung: The data set contains the power generated by a PV system over one week. The PV system has a total output of 55kWp and is located on the roof of the SmartFactoryOWL in Lemgo. The data was recorded with an interval of 5 minutes.</description>
      <pubDate>Sat, 01 Mar 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://fordatis.fraunhofer.de/handle/fordatis/433</guid>
      <dc:date>2025-03-01T00:00:00Z</dc:date>
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