Auflistung nach Autor:in "Tomforde, Sven"
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- ZeitschriftenartikelCollaborative Interactive Learning(Informatik Spektrum: Vol. 41, No. 1, 2018) Sick, Bernhard; Oeste-Reiß, Sarah; Schmidt, Albrecht; Tomforde, Sven; Zweig, Anna Katharina
- ZeitschriftenartikelInterwoven Systems(Informatik-Spektrum: Vol. 37, No. 5, 2014) Tomforde, Sven; Hähner, Jörg; Sick, Bernhard
- KonferenzbeitragOrganic Computing Doctoral Dissertation Colloquium 2019(INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Krupitzer, Christian; Tomforde, Sven
- KonferenzbeitragThe Organic Computing Doctoral Dissertation Colloquium: Status and Overview in 2019(INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Krupitzer, Christian; Tomforde, SvenToday, people are surrounded by smart and connected devices. Gartner Inc. estimated that 8.4 billion devices were connected in the Internet-of-Things worldwide in 2017, reaching 20.4 billion by 2020. The growing number of mobile and embedded devices in combination with the omnipresence of (wireless) network connections facilitates new applications, such as autonomous driving, ambient assisted living / smart home, or Industry 4.0. However, it requires integration of all available, highly specialised, and heterogeneous devices, ranging from embedded sensor nodes to servers in the cloud. Further, the inclusion of data streams with sensor data and web data leads to an increasing complexity in system development. Additionally, as these systems are mobile, changing environmental conditions increase the complexity even further. Organic Computing systems are able to deal with such systems and lower the complexity for their development by introducing methods for integrating adaptiveness and intelligence to computing systems. This workshops brings together PhD students from different research streams related to Organic Computing with the objective to represent the wide field of research in the domain of adaptive and intelligence systems.
- KonferenzbeitragPOWEA: A system for automated network protocol parameter optimisation using evolutionary algorithms(Informatik 2009 – Im Focus das Leben, 2009) Tomforde, Sven; Hoffmann, Martin; Bernard, Yvonne; Klejnowski, Lukas; Hähner, Jörg
- ZeitschriftenartikelReinforcement learning as a basis for cross domain fusion of heterogeneous data(Informatik Spektrum: Vol. 45, No. 5, 2022) Christensen, Sören; Tomforde, SvenWe propose to establish a research direction based on Reinforcement Learning in the scope of Cross Domain Fusion. More precisely, we combine the algorithmic approach of evolutionary rule-based Reinforcement Learning with the efficiency and performance of Deep Reinforcement Learning, while simultaneously developing a sound mathematical foundation. A possible scenario is traffic control in urban regions.
- ZeitschriftenartikelReinforcement learning as a basis for cross domain fusion of heterogeneous data(Informatik Spektrum: Vol. 45, No. 4, 2022) Christensen, Sören; Tomforde, SvenWe propose to establish a research direction based on Reinforcement Learning in the scope of Cross Domain Fusion. More precisely, we combine the algorithmic approach of evolutionary rule-based Reinforcement Learning with the efficiency and performance of Deep Reinforcement Learning, while simultaneously developing a sound mathematical foundation. A possible scenario is traffic control in urban regions.
- KonferenzbeitragVisual twittering using mobile phones in pervasive environments(Informatik 2009 – Im Focus das Leben, 2009) Wittke, Michael; Tomforde, Sven; Chaaban, Yaser; Brehm, Jürgen