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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://hdl.handle.net/10397/7701" />
  <subtitle />
  <id>http://hdl.handle.net/10397/7701</id>
  <updated>2026-02-25T10:15:22Z</updated>
  <dc:date>2026-02-25T10:15:22Z</dc:date>
  <entry>
    <title>Investigating sewer corrosion drivers using quantitative modeling</title>
    <link rel="alternate" href="http://hdl.handle.net/10397/117308" />
    <author>
      <name>Nashat, M</name>
    </author>
    <author>
      <name>Zayed, T</name>
    </author>
    <author>
      <name>Ibrahim, A</name>
    </author>
    <author>
      <name>Yang, J</name>
    </author>
    <id>http://hdl.handle.net/10397/117308</id>
    <updated>2026-02-10T08:58:22Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Investigating sewer corrosion drivers using quantitative modeling
Authors: Nashat, M; Zayed, T; Ibrahim, A; Yang, J
Description: Joint CSCE Construction Specialty Conference / ASCE Construction Research Congress (CRC) 2025, July 28-31, 2025, Concordia University, Montreal, Canada</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Understanding key factors influencing hydrogen sulfide emissions in sewer systems</title>
    <link rel="alternate" href="http://hdl.handle.net/10397/117307" />
    <author>
      <name>Nashat, M</name>
    </author>
    <author>
      <name>Zayed, T</name>
    </author>
    <author>
      <name>Ibrahim, A</name>
    </author>
    <author>
      <name>Yang, J</name>
    </author>
    <id>http://hdl.handle.net/10397/117307</id>
    <updated>2026-02-10T08:58:14Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Understanding key factors influencing hydrogen sulfide emissions in sewer systems
Authors: Nashat, M; Zayed, T; Ibrahim, A; Yang, J
Description: Joint CSCE Construction Specialty Conference / ASCE Construction Research Congress (CRC) 2025, July 28-31, 2025, Concordia University, Montreal, Canada</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Towards predictive modeling of time to sewer pipe failure : a preliminary exploratory study combining statistical analysis and AI techniques</title>
    <link rel="alternate" href="http://hdl.handle.net/10397/117306" />
    <author>
      <name>Yang, J</name>
    </author>
    <author>
      <name>Zayed, T</name>
    </author>
    <author>
      <name>Liu, X</name>
    </author>
    <author>
      <name>Arimiyaw, D</name>
    </author>
    <author>
      <name>Nashat, M</name>
    </author>
    <author>
      <name>Ibrahim, A</name>
    </author>
    <id>http://hdl.handle.net/10397/117306</id>
    <updated>2026-02-10T08:57:54Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Towards predictive modeling of time to sewer pipe failure : a preliminary exploratory study combining statistical analysis and AI techniques
Authors: Yang, J; Zayed, T; Liu, X; Arimiyaw, D; Nashat, M; Ibrahim, A
Description: Joint CSCE Construction Specialty Conference / ASCE Construction Research Congress (CRC) 2025, July 28-31, 2025, Concordia University, Montreal, Canada</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The International Workshop on spatio-temporal data intelligence and foundation models</title>
    <link rel="alternate" href="http://hdl.handle.net/10397/117006" />
    <author>
      <name>Miao, H</name>
    </author>
    <author>
      <name>Zhao, Y</name>
    </author>
    <author>
      <name>Liang, Y</name>
    </author>
    <author>
      <name>Yang, B</name>
    </author>
    <author>
      <name>Zheng, K</name>
    </author>
    <author>
      <name>Jensen, CS</name>
    </author>
    <id>http://hdl.handle.net/10397/117006</id>
    <updated>2026-01-21T08:57:25Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: The International Workshop on spatio-temporal data intelligence and foundation models
Authors: Miao, H; Zhao, Y; Liang, Y; Yang, B; Zheng, K; Jensen, CS
Description: CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul Republic of Korea, November 10 - 14, 2025</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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