| Applied machine learning: Forecasting heat load in district heating system S Idowu, S Saguna, C Åhlund, O Schelén Energy and Buildings 133, 478-488, 2016 | 247 | 2016 |
| Context-aware QoE modelling, measurement, and prediction in mobile computing systems K Mitra, A Zaslavsky, C Åhlund IEEE Transactions on Mobile Computing 14 (5), 920-936, 2013 | 176 | 2013 |
| Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency M Schmidt, C Åhlund Renewable and Sustainable Energy Reviews 90, 742-756, 2018 | 138 | 2018 |
| Performance evaluation of FIWARE: A cloud-based IoT platform for smart cities V Araujo, K Mitra, S Saguna, C Åhlund Journal of Parallel and Distributed Computing 132, 250-261, 2019 | 131 | 2019 |
| IReHMo: An efficient IoT-based remote health monitoring system for smart regions NM Khoi, S Saguna, K Mitra, C Ǻhlund 2015 17th international conference on e-health networking, application …, 2015 | 110 | 2015 |
| Throughput prediction using machine learning in LTE and 5G networks D Minovski, N Ögren, K Mitra, C Åhlund IEEE Transactions on Mobile Computing 22 (3), 1825-1840, 2021 | 97 | 2021 |
| Forecasting heat load for smart district heating systems: A machine learning approach S Idowu, S Saguna, C Åhlund, O Schelén 2014 IEEE international conference on smart grid communications …, 2014 | 66 | 2014 |
| Modeling quality of IoT experience in autonomous vehicles D Minovski, C Åhlund, K Mitra IEEE Internet of Things Journal 7 (5), 3833-3849, 2020 | 62 | 2020 |
| Blockchain and machine learning for future smart grids: A review VK Mololoth, S Saguna, C Åhlund Energies 16 (1), 528, 2023 | 61 | 2023 |
| Multimodal interaction systems based on internet of things and augmented reality: A systematic literature review JC Kim, TH Laine, C Åhlund Applied Sciences 11 (4), 1738, 2021 | 55 | 2021 |
| Anomaly detection using machine learning to discover sensor tampering in IoT systems AK Pathak, S Saguna, K Mitra, C Åhlund ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 46 | 2021 |
| Temperature impact in LoRaWAN—A case study in Northern Sweden N Souza Bezerra, C Åhlund, S Saguna, VA de Sousa Jr Sensors 19 (20), 4414, 2019 | 44 | 2019 |
| Multihoming with mobile IP C Åhlund, A Zaslavsky IEEE International Conference on High Speed Networks and Multimedia …, 2003 | 44 | 2003 |
| M-MIP: extended Mobile IP to maintain multiple connections to overlapping wireless access networks C Åhlund, R Brännström, A Zaslavsky Networking-ICN 2005: 4th International Conference on Networking, Reunion …, 2005 | 40 | 2005 |
| Extending global IP connectivity for ad hoc networks C Åhlund, A Zaslavsky Telecommunication Systems 24, 221-250, 2003 | 40 | 2003 |
| Cloudsimdisk: Energy-aware storage simulation in cloudsim B Louis, K Mitra, S Saguna, C Åhlund 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing …, 2015 | 39 | 2015 |
| M2C2: A mobility management system for mobile cloud computing K Mitra, S Saguna, C Åhlund 2015 IEEE Wireless Communications and Networking Conference (WCNC), 1608-1613, 2015 | 39 | 2015 |
| A probabilistic context-aware approach for quality of experience measurement in pervasive systems K Mitra, A Zaslavsky, C Åhlund Proceedings of the 2011 ACM symposium on applied computing, 419-424, 2011 | 37 | 2011 |
| QoE modelling, measurement and prediction: A review K Mitra, A Zaslavsky, C Åhlund arXiv preprint arXiv:1410.6952, 2014 | 34 | 2014 |
| Multimedia QoE optimized management using prediction and statistical learning M Elkotob, D Grandlund, K Andersson, C Ahlund IEEE Local Computer Network Conference, 324-327, 2010 | 32 | 2010 |
