Evaluation of Key-Value Stores for Distributed Locking Purposes. - Piotr Grzesik; Dariusz Mrozek (BDAS, 2019)

Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks. - Piotr Grzesik; Dariusz Mrozek (ICCS (5), 2020)

Metagenomic Analysis at the Edge with Jetson Xavier NX. - Piotr Grzesik; Dariusz Mrozek (ICCS (4), 2021)

Serverless Nanopore Basecalling with AWS Lambda. - Piotr Grzesik; Dariusz Mrozek (ICCS (2), 2021)

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles. - Piotr Grzesik; Pawel Benecki; Daniel Kostrzewa; Bohdan Shubyn; Dariusz Mrozek (ICCS (4), 2022)

Accelerating Edge Metagenomic Analysis with Serverless-Based Cloud Offloading. - Piotr Grzesik; Dariusz Mrozek (ICCS (1), 2022)

Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles. - Bohdan Shubyn; Dariusz Mrozek; Taras Maksymyuk; Vaidy S. Sunderam; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki (ICCS (4), 2022)

Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (SMC, 2022)

Serverless computing in omics data analysis and integration. - Piotr Grzesik; Dariusz Rafal Augustyn; Lukasz Wycislik; Dariusz Mrozek (Briefings Bioinform., 2022)

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (IEEE Big Data, 2023)

Optimizing Telemetry Signal Influence for Power Consumption Prediction. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (GECCO Companion, 2023)

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment. - Bohdan Shubyn; Piotr Grzesik; Taras Maksymyuk; Daniel Kostrzewa; Pawel Benecki; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (ICCS (5), 2023)

Federated Learning for improved prediction of failures in Autonomous Guided Vehicles. - Bohdan Shubyn; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki; Taras Maksymyuk; Vaidy S. Sunderam; Jia-Hao Syu; Jerry Chun-Wei Lin; Dariusz Mrozek (J. Comput. Sci., 2023)

Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories. - Bozena Malysiak-Mrozek; Dominik Romanów; Piotr Grzesik; Pawel Benecki; Alexandre Niyomugaba; Theodore Habimana; Daniel Kostrzewa; Krzysztof Tokarz; Che-Lun Hung; Dariusz Mrozek (IEEE Big Data, 2024)

Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (GECCO Companion, 2024)

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. - Pawel Benecki; Daniel Kostrzewa; Marek Drewniak; Bohdan Shubyn; Piotr Grzesik; Vaidy S. Sunderam; Boleslaw Pochopien; Andrzej Kwiecien; Bozena Malysiak-Mrozek; Dariusz Mrozek (ICCS (7), 2024)