| Sim-to-real transfer in deep reinforcement learning for robotics: a survey W Zhao, JP Queralta, T Westerlund 2020 IEEE symposium series on computational intelligence (SSCI), 737-744, 2020 | 854 | 2020 |
| Fog computing in healthcare internet of things: A case study on ecg feature extraction TN Gia, M Jiang, AM Rahmani, T Westerlund, P Liljeberg, H Tenhunen 2015 IEEE international conference on computer and information technology …, 2015 | 641 | 2015 |
| Timepix3: a 65K channel hybrid pixel readout chip with simultaneous ToA/ToT and sparse readout T Poikela, J Plosila, T Westerlund, M Campbell, M De Gaspari, X Llopart, ... Journal of instrumentation 9 (05), C05013, 2014 | 621 | 2014 |
| Collaborative multi-robot search and rescue: Planning, coordination, perception, and active vision JP Queralta, J Taipalmaa, BC Pullinen, VK Sarker, TN Gia, H Tenhunen, ... Ieee Access 8, 191617-191643, 2020 | 368 | 2020 |
| A survey on odometry for autonomous navigation systems SAS Mohamed, MH Haghbayan, T Westerlund, J Heikkonen, H Tenhunen, ... IEEE access 7, 97466-97486, 2019 | 244 | 2019 |
| Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes TN Gia, M Jiang, VK Sarker, AM Rahmani, T Westerlund, P Liljeberg, ... 2017 13th international wireless communications and mobile computing …, 2017 | 181 | 2017 |
| Energy efficient wearable sensor node for IoT-based fall detection systems TN Gia, VK Sarker, I Tcarenko, AM Rahmani, T Westerlund, P Liljeberg, ... Microprocessors and Microsystems 56, 34-46, 2018 | 173 | 2018 |
| IoT-based continuous glucose monitoring system: A feasibility study TN Gia, M Ali, IB Dhaou, AM Rahmani, T Westerlund, P Liljeberg, ... Procedia Computer Science 109, 327-334, 2017 | 171 | 2017 |
| Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks JP Queralta, TN Gia, H Tenhunen, T Westerlund 2019 42nd international conference on telecommunications and signal …, 2019 | 164 | 2019 |
| Leveraging fog computing for healthcare IoT B Negash, TN Gia, A Anzanpour, I Azimi, M Jiang, T Westerlund, ... Fog computing in the internet of things: Intelligence at the edge, 145-169, 2018 | 128 | 2018 |
| Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease TN Gia, IB Dhaou, M Ali, AM Rahmani, T Westerlund, P Liljeberg, ... Future Generation Computer Systems 93, 198-211, 2019 | 124 | 2019 |
| Uwb-based localization for multi-uav systems and collaborative heterogeneous multi-robot systems W Shule, CM Almansa, JP Queralta, Z Zou, T Westerlund Procedia Computer Science 175, 357-364, 2020 | 117 | 2020 |
| Comparative study of LPWAN technologies on unlicensed bands for M2M communication in the IoT: Beyond LoRa and LoRaWAN JP Queralta, TN Gia, Z Zou, H Tenhunen, T Westerlund Procedia Computer Science 155, 343-350, 2019 | 114 | 2019 |
| Uwb-based system for uav localization in gnss-denied environments: Characterization and dataset JP Queralta, CM Almansa, F Schiano, D Floreano, T Westerlund 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 110 | 2020 |
| A Survey on LoRa for IoT: Integrating Edge Computing VK Sarker, JP Queralta, TN Gia, H Tenhunen, T Westerlund | 103 | 2019 |
| Fault tolerant and scalable IoT-based architecture for health monitoring TN Gia, AM Rahmani, T Westerlund, P Liljeberg, H Tenhunen 2015 IEEE Sensors Applications Symposium (SAS), 1-6, 2015 | 103 | 2015 |
| Edge and fog computing enabled AI for IoT-an overview Z Zou, Y Jin, P Nevalainen, Y Huan, J Heikkonen, T Westerlund 2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019 | 102 | 2019 |
| Edge AI in smart farming IoT: CNNs at the edge and fog computing with LoRa TN Gia, L Qingqing, JP Queralta, Z Zou, H Tenhunen, T Westerlund 2019 IEEE AFRICON, 1-6, 2019 | 100 | 2019 |
| Multi-sensor fusion for navigation and mapping in autonomous vehicles: Accurate localization in urban environments Q Li, JP Queralta, TN Gia, Z Zou, T Westerlund Unmanned Systems 8 (03), 229-237, 2020 | 93 | 2020 |
| MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net W Zhao, D Jiang, JP Queralta, T Westerlund Informatics in Medicine Unlocked 19, 100357, 2020 | 88 | 2020 |
Juha PlosilaProfessor, University of Turku (UTU), FinlandVerified email at utu.fi
