Fog Computing in Healthcare-A Review and Discussion von Kraemer, Frank Alexander, Braten, Anders Eivind, Tamkittikhun, Nattachart, Palma, David

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Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting von Murad, Abdulmajid, Kraemer, Frank Alexander, Bach, Kerstin, Taylor, Gavin

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Operationalizing Solar Energy Predictions for Sustainable, Autonomous IoT Device Management von Kraemer, Frank Alexander, Palma, David, Braten, Anders Eivind, Ammar, Doreid

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Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy von Kraemer, Frank Alexander, Asad, Hafiz Areeb, Bach, Kerstin, Renner, Christian

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Value of Information in Wireless Sensor Network Applications and the IoT: A Review von Alawad, Faiga, Kraemer, Frank Alexander

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Uncertainty-aware autonomous sensing with deep reinforcement learning von Murad, Abdulmajid, Kraemer, Frank Alexander, Bach, Kerstin, Taylor, Gavin

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Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications von Veiga, Tiago, Asad, Hafiz Areeb, Kraemer, Frank Alexander, Bach, Kerstin

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Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model von Braten, Anders Eivind, Kraemer, Frank Alexander, Palma, David

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Container-Based IoT Architectures: Use Case for Visual Person Counting von Santos Veiga, Tiago, Asad, Hafiz Areeb, Kraemer, Frank Alexander, Bach, Kerstin

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Exploring the computational cost of machine learning at the edge for human-centric Internet of Things von Gómez-Carmona, Oihane, Casado-Mansilla, Diego, Kraemer, Frank Alexander, López-de-Ipiña, Diego, García-Zubia, Javier

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Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning von Murad, Abdulmajid, Kraemer, Frank Alexander, Bach, Kerstin, Taylor, Gavin

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System Analysis and Modeling: About Models : 6th International Workshop, SAM 2010, Oslo, Norway, October 4-5, 2010, Revised Selected Papers von Kraemer, Frank Alexander, Herrmann, Peter

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Adaptive, Correlation-Based Training Data Selection for IoT Device Management von Bråten, Anders Eivind, Kraemer, Frank Alexander, Palma, David

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Tool support for the rapid composition, analysis and implementation of reactive services von Kraemer, Frank Alexander, Slåtten, Vidar, Herrmann, Peter

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Engineering android applications based on UML activities von Kraemer, Frank Alexander

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Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications von Veiga, Tiago Santos, Asad, Hafiz Areeb, Kræmer, Frank Alexander, Bach, Kerstin

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Reactive Semantics for Distributed UML Activities von Kraemer, Frank Alexander, Herrmann, Peter

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Energy-Accuracy Tradeoff for Efficient Noise Monitoring and Prediction in Working Environments von Kraemer, Frank Alexander, Alawad, Faiga Mohammad Mohammad Ahmed, Bosch, Ida Marie V

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Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes von Håkansson, Victor Wattin, Dasanadoddi Venkategowda, Naveen Kumar, Kraemer, Frank Alexander, Werner, Stefan

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Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes von Singh, Adarsh Pal, Jain, Vivek, Chaudhari, Sachin, Kraemer, Frank Alexander, Werner, Stefan, Garg, Vishal

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