• Towards Model-Based Reinforcement Learning for Industry-Near Environments 

  Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2019)

  Deep reinforcement learning has over the past few years shown great potential in learning near-optimal control in complex simulated environments with little visible information. Rainbow (Q-Learning) and PPO (Policy ...

• The Aquatic Surface Robot (AnSweR), a lightweight, low cost, multipurpose unmanned research vessel 

  Sanfilippo, Filippo; Tang, Min; Steyaert, Sam (Chapter, 2021)

  Even though a few examples of aquatic surface robots exist, they are generally expensive, relatively large and heavy and tailored to custom-made hardware/software components that are not openly available to a broad public. ...

• Cyber-Security in Digital Metering Value Chain for Mountain Landslide Warning 

  Aarland, Mari; Radianti, Jaziar; Gjøsæter, Terje (IFIP Advances in Information and Communication Technology;622, Chapter, 2021)

  The Norwegian Water Resources and Energy Directorate (NVE) are initiating a digitalization process that involves the use of a digital metering value chain and cloud computing. The main objective of this study is to investigate ...

• Combining Auto-Encoder with LSTM for WiFi-Based Fingerprint Positioning 

  Liu, Yu-Ting; Chen, Jen-Jee; Tseng, Yu-Chee; Li, Frank Yong (Chapter, 2021)

  Although indoor positioning has long been investigated by various means, its accuracy remains concern. Several recent studies have applied machine learning algorithms to explore wireless fidelity (WiFi)-based positioning. ...

• Understanding Civic Engagement on Social Media Based on Users’ Motivation to Contribute 

  Hofmann, Sara; Pappas, Ilias (Chapter; Peer reviewed, 2021)

  Socialmediaoffervariousopportunitiesforcivicengagementby,e.g., liking, sharing, or posting relevant content. Users’ motivation to contribute to relevant topics is quite divers and can stem from an intrinsic motivation to ...

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