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Tomi Westerlund
Tomi Westerlund
Professor, Robotics and Autonomous Systems, University of Turku, Finland
Verified email at utu.fi - Homepage
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Cited by
Cited by
Year
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
9332020
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
6522015
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
6332014
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
3902020
A survey on odometry for autonomous navigation systems
SAS Mohamed, MH Haghbayan, T Westerlund, J Heikkonen, H Tenhunen, ...
IEEE access 7, 97466-97486, 2019
2582019
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
1832017
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
1782018
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
1782017
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
1712019
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
1312019
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
1302018
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
1212020
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
1162020
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
1152019
A Survey on LoRa for IoT: Integrating Edge Computing
VK Sarker, JP Queralta, TN Gia, H Tenhunen, T Westerlund
1092019
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
1052019
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
1042019
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
1042015
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
942020
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
942020
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