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Mikolaj Jankowski
Mikolaj Jankowski
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Wireless image retrieval at the edge
M Jankowski, D Gündüz, K Mikolajczyk
IEEE Journal on Selected Areas in Communications 39 (1), 89-100, 2020
2162020
Joint device-edge inference over wireless links with pruning
M Jankowski, D Gündüz, K Mikolajczyk
2020 IEEE 21st international workshop on signal processing advances in …, 2020
982020
DeepJSCC-Q: Constellation constrained deep joint source-channel coding
TY Tung, DB Kurka, M Jankowski, D Gündüz
IEEE Journal on Selected Areas in Information Theory 3 (4), 720-731, 2022
752022
Communicate to learn at the edge
D Gündüz, DB Kurka, M Jankowski, MM Amiri, E Ozfatura, S Sreekumar
IEEE Communications Magazine 58 (12), 14-19, 2020
752020
Federated mmWave beam selection utilizing LIDAR data
MB Mashhadi, M Jankowski, TY Tung, S Kobus, D Gündüz
IEEE Wireless Communications Letters 10 (10), 2269-2273, 2021
642021
LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training
M Zecchin, M Boloursaz Mashhadi, M Jankowski, D Gunduz, ...
IEEE Transactions on Vehicular Technology, 12, 2022
622022
Deep joint source-channel coding for wireless image retrieval
M Jankowski, D Gündüz, K Mikolajczyk
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
622020
Deepjscc-q: Channel input constrained deep joint source-channel coding
TY Tung, DB Kurka, M Jankowski, D Gündüz
ICC 2022-IEEE International Conference on Communications, 3880-3885, 2022
252022
Airnet: Neural network transmission over the air
M Jankowski, D Gündüz, K Mikolajczyk
IEEE Transactions on Wireless Communications, 2024
222024
Deep joint transmission-recognition for power-constrained Iot devices
M Jankowski, D Gündüz, K Mikolajczyk
arXiv preprint arXiv:2003.02027, 2020
72020
Proposition of the methodology of the robotised part replication implemented in industry 4.0 paradigm
M Nazarczuk, M Cader, M Kowalik, M Jankowski
Conference on Automation, 457-472, 2019
42019
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels
M Jankowski, D Gündüz, K Mikolajczyk
2024 IEEE International Conference on Machine Learning for Communication and …, 2024
22024
Deep joint transmission-recognition for multi-view cameras
E Ozyilkan, M Jankowski
arXiv preprint arXiv:2011.01902, 2020
22020
COMMUNICATION TECHNOLOGIES FOR EFFICIENT EDGE LEARNING
D Gündüz, DB Kurka, M Jankowski, MM Amiri, E Ozfatura, S Sreekumar, ...
IEEE Communications Magazine, 2, 2020
2020
Proposition of the Methodology of the Robotised Part Replication Implemented in Industry 4.0 Paradigm
M Jankowski
Automation 2019: Progress in Automation, Robotics and Measurement Techniques …, 2019
2019
Isocyanic acid: methodologies for generation, sampling and measurement in workroom air
MJ Jankowski
Norwegian University of Life Sciences, Ċs, 2018
2018
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