10 citations · 13 across the 10 of their papers we have counts for
10 papers
EVECTOR: An orchestrator for analysing attacks in electric vehicles charging system
Devki Nandan Jha, Tomasz Szydlo, Nima Valizadeh +9
Electric Vehicle (EV) charging infrastructure is critical for the widespread adoption of EVs, ensuring efficient and secure charging processes. Evaluating the security and performa…
Compression and Inference of Spiking Neural Networks on Resource-Constrained Hardware
Karol C. Jurzec, Tomasz Szydlo, Maciej Wielgosz
Spiking neural networks (SNNs) communicate via discrete spikes in time rather than continuous activations. Their event-driven nature offers advantages for temporal processing and e…
TinyAC: Bringing Autonomic Computing Principles to Resource-Constrained Systems
Wojciech Kalka, Ruitao Xue, Kamil Faber +4
Autonomic Computing (AC) is a promising approach for developing intelligent and adaptive self-management systems at the deep network edge. In this paper, we present the problems an…
Higher-Order Graph Databases
Maciej Besta, Shriram Chandran, Jakub Cudak +6
Recent advances in graph databases (GDBs) have been driving interest in large-scale analytics, yet current systems fail to support higher-order (HO) interactions beyond first-order…
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
Tomasz Szydlo, Viacheslav Horbanov, Devki Nandan Jha +3
Edge computing has emerged as a pivotal technology, offering significant advantages such as low latency, enhanced data security, and reduced reliance on centralized cloud infrastru…
IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing
Tomasz Szydlo, Amadeusz Szabala, Nazar Kordiumov +5
Internet of Things systems exists in various areas of our everyday life. For example, sensors installed in smart cities and homes are processed in edge and cloud computing centres…
Device management and network connectivity as missing elements in TinyML landscape
Tomasz Szydlo, Marcin Nagy
Deployment of solutions based on TinyML requires meeting several challenges. These include hardware heterogeneity, microprocessor (MCU) architectures, and resource availability con…
Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devices
Tomasz Szydlo
The growing number of IoT devices and their use to monitor the operation of machines and equipment increases interest in anomaly detection algorithms running on devices. However, t…
Machine Learning in the Internet of Things for Industry 4.0
Tomasz Szydlo, Joanna Sendorek, Robert Brzoza-Woch +1
Number of IoT devices is constantly increasing which results in greater complexity of computations and high data velocity. One of the approach to process sensor data is dataflow pr…
Dataset for anomalies detection in 3D printing
Joanna Sendorek, Tomasz Szydlo, Mateusz Windak +1
Nowadays, Internet of Things plays a significant role in many domains. Especially, Industry 4.0 is making a great usage of concepts like smart sensors and big data analysis. IoT de…