| Fog computing in healthcare–a review and discussion FA Kraemer, AE Braten, N Tamkittikhun, D Palma IEEE Access 5, 9206-9222, 2017 | 357 | 2017 |
| Tool support for the rapid composition, analysis and implementation of reactive services FA Kraemer, V Slåtten, P Herrmann Journal of Systems and Software 82 (12), 2068-2080, 2009 | 89 | 2009 |
| Engineering android applications based on uml activities FA Kraemer Model Driven Engineering Languages and Systems: 14th International …, 2011 | 67 | 2011 |
| Automated encapsulation of UML activities for incremental development and verification FA Kraemer, P Herrmann Model Driven Engineering Languages and Systems: 12th International …, 2009 | 51 | 2009 |
| Engineering reactive systems: A compositional and model-driven method based on collaborative building blocks FA Kraemer Fakultet for informasjonsteknologi, matematikk og elektroteknikk, 2008 | 51 | 2008 |
| Transforming collaborative service specifications into efficiently executable state machines FA Kraemer, P Herrmann Electronic Communications of the EASST 6, 2007 | 51 | 2007 |
| Using UML 2.0 collaborations for compositional service specification RT Sanders, HN Castejón, FA Kraemer, R Bræk Model Driven Engineering Languages and Systems: 8th International Conference …, 2005 | 50 | 2005 |
| Aligning UML 2.0 state machines and temporal logic for the efficient execution of services FA Kraemer, P Herrmann, R Bræk On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and …, 2006 | 49 | 2006 |
| Service Specification by Composition of Collaborations--An Example FA Kraemer, P Herrmann 2006 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2006 | 48 | 2006 |
| Reactive semantics for distributed UML activities FA Kraemer, P Herrmann International Conference on Formal Methods for Open Object-Based Distributed …, 2010 | 45 | 2010 |
| Solar energy prediction for constrained IoT nodes based on public weather forecasts FA Kraemer, D Ammar, AE Braten, N Tamkittikhun, D Palma Proceedings of the Seventh International Conference on the Internet of …, 2017 | 44 | 2017 |
| Autonomous management of energy-harvesting iot nodes using deep reinforcement learning A Murad, FA Kraemer, K Bach, G Taylor 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing …, 2019 | 41 | 2019 |
| Synthesizing components with sessions from collaboration-oriented service specifications FA Kraemer, R Bræk, P Herrmann SDL 2007: Design for Dependable Systems: 13th International SDL Forum Paris …, 2007 | 40 | 2007 |
| Machine learning-based occupancy estimation using multivariate sensor nodes AP Singh, V Jain, S Chaudhari, FA Kraemer, S Werner, V Garg 2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018 | 36 | 2018 |
| Compositional service engineering with arctis FA Kraemer, R Bræk, P Herrmann Telektronikk 105 (2009), 1, 2009 | 33 | 2009 |
| Exploring the computational cost of machine learning at the edge for human-centric Internet of Things O Gómez-Carmona, D Casado-Mansilla, FA Kraemer, D López-de-Ipiña, ... Future Generation Computer Systems 112, 670-683, 2020 | 32 | 2020 |
| Operationalizing solar energy predictions for sustainable, autonomous IoT device management FA Kraemer, D Palma, AE Braten, D Ammar IEEE Internet of Things Journal 7 (12), 11803-11814, 2020 | 32 | 2020 |
| Value of information in wireless sensor network applications and the IoT: A review F Alawad, FA Kraemer IEEE Sensors Journal 22 (10), 9228-9245, 2022 | 29 | 2022 |
| Arctis and Ramses: Tool suites for rapid service engineering FA Kraemer Proceedings of NIK, 2007 | 29 | 2007 |
| A measurement-driven approach to understand urban greenhouse gas emissions in Nordic cities D Ahlers, PA Driscoll, FA Kraemer, FV Anthonisen, J Krogstie NIK, 2016 | 26 | 2016 |
Peter HerrmannProfessor in Communication Systems at the Norwegian University of Science and Technology, TrondheimVerifisert e-postadresse på ntnu.no
