フォロー
Tomasz Szydlo
Tomasz Szydlo
Newcastle University, AGH-UST
確認したメール アドレス: agh.edu.pl - ホームページ
タイトル
引用先
引用先
Flow-based programming for IoT leveraging fog computing
T Szydlo, R Brzoza-Woch, J Sendorek, M Windak, C Gniady
2017 IEEE 26th International conference on enabling technologies …, 2017
522017
Adaptive SOA solution stack
K Zielinnski, T Szydlo, R Szymacha, J Kosinski, J Kosinska, M Jarzab
IEEE Transactions on Services Computing 5 (2), 149-163, 2011
512011
Mobile and wearable devices in an open and universal system for remote patient monitoring
T Szydło, M Konieczny
Microprocessors and Microsystems 46, 44-54, 2016
362016
Embedded systems in the application of fog computing—Levee monitoring use case
R Brzoza-Woch, M Konieczny, P Nawrocki, T Szydlo, K Zielinski
2016 11th IEEE Symposium on Industrial Embedded Systems (SIES), 1-6, 2016
362016
Holistic approach to urgent computing for flood decision support
R Brzoza-Woch, M Konieczny, B Kwolek, P Nawrocki, T Szydło, ...
Procedia Computer Science 51, 2387-2396, 2015
302015
Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities
B Balis, R Brzoza-Woch, M Bubak, M Kasztelnik, B Kwolek, P Nawrocki, ...
Future Generation Computer Systems 79, 128-143, 2018
262018
Power aware MOM for telemetry-oriented applications using GPRS-enabled embedded devices-levee monitoring use case
T Szydlo, P Nawrocki, R Brzoza-Woch, K Zielinski
2014 Federated Conference on Computer Science and Information Systems, 1059-1064, 2014
262014
Mobile devices in the open and universal system for remote patient monitoring
T Szydło, M Konieczny
IFAC-PapersOnLine 48 (4), 296-301, 2015
212015
Software‐Defined Virtual Testbed for IoT Systems
J Sendorek, T Szydlo, R Brzoza-Woch
Wireless Communications and Mobile Computing 2018 (1), 1068261, 2018
202018
Enabling machine learning on resource constrained devices by source code generation of the learned models
T Szydlo, J Sendorek, R Brzoza-Woch
Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018
182018
Adaptive enterprise service bus
T Szydło, K Zieliński
New Generation Computing 30, 189-214, 2012
182012
Dynamic bandwidth slicing for time-critical IoT data streams in the edge-cloud continuum
F Habeeb, K Alwasel, A Noor, DN Jha, D AlQattan, Y Li, GS Aujla, ...
IEEE Transactions on Industrial Informatics 18 (11), 8017-8026, 2022
172022
Method of adaptive quality control in service oriented architectures
T Szydlo, K Zielinski
International Conference on Computational Science, 307-316, 2008
132008
A rules-to-trees conversion in the inductive database system VINLEN
T Szydło, B Śnieżyński, RS Michalski
Intelligent Information Processing and Web Mining: Proceedings of the …, 2005
122005
Dataset for anomalies detection in 3D printing
T Szydlo, J Sendorek, M Windak, R Brzoza-Woch
International Conference on Computational Science, 647-653, 2021
112021
Context dissemination and aggregation for ambient networks: Jini based prototype
K Bałos, T Szydło, R Szymacha, K Zieliński
Smart Sensing and Context: First European Conference, EuroSSC 2006 Enschede …, 2006
112006
Fedmsa: A model selection and adaptation system for federated learning
R Sun, Y Li, T Shah, RWH Sham, T Szydlo, B Qian, D Thakker, R Ranjan
Sensors 22 (19), 7244, 2022
92022
Tinyrl: Towards reinforcement learning on tiny embedded devices
T Szydlo, PP Jayaraman, Y Li, G Morgan, R Ranjan
Proceedings of the 31st ACM International Conference on Information …, 2022
82022
Message-oriented communication for ipv6-enabled pervasive devices
T Szydło, P Suder, J Bibro
Computer Science 14, 2013
82013
Remote programming and reconfiguration system for embedded devices
T Michalec, M Wojczuk, R Brzoza-Woch, T Szydło
2019 Federated Conference on Computer Science and Information Systems …, 2019
72019
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論文 1–20