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Publications

Steclik, T., Cupek, R., & Drewniak, M. (2022). Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on Automated Guided Vehicles. Journal of Computational Science62, 101693.

Smołka, I., & Stój, J. (2022). Utilization of SDN Technology for Flexible EtherCAT Networks Applications. Sensors22(5), 1944.

Stój, J., Kampen, A. L., Cupek, R., Smołka, I., & Drewniak, M. (2022). Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot. Sensors23(1), 158.

Ahmed, U., Lin, J. C. W., Srivastava, G., Yun, U., & Singh, A. K. (2022). Deep active learning intrusion detection and load balancing in software-defined vehicular networks. IEEE Transactions on Intelligent Transportation Systems.

Djenouri, Y., Srivastava, G., Djenouri, D., Belhadi, A., & Lin, J. C. W. (2022). Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads. IEEE Transactions on Intelligent Transportation Systems23(12), 25335-25344.

Mezair, T., Djenouri, Y., Belhadi, A., Srivastava, G., & Lin, J. C. W. (2022). Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles. ACM Transactions on Sensor Networks19(2), 1-18.

Djenouri, Y., Belhadi, A., Djenouri, D., Srivastava, G., & Lin, J. C. W. (2022). Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems. IEEE Transactions on Intelligent Transportation Systems.

Ahmed, U., Lin, J. C. W., Srivastava, G., Mekala, M. S., & Jung, H. Y. (2022). Fuzzy active learning to detect OpenCL kernel heterogeneous machines in cyber physical systems. IEEE Transactions on Fuzzy Systems30(11), 4618-4629.

Kampen, A. L., Cupek, R., Fojcik, M., Drewniak, M., & Øvsthus, K. (2022, October). Case Study of AGV in Industry 4.0 Environments–An Evaluation of Wireless Communication Protocols. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2049-2055). IEEE.

Smołka, I., Stój, J., & Fojcik, M. (2022, September). Application of Software Defined Networks for Collection of Process Data in Industrial Real-Time Systems. In Advances in Computational Collective Intelligence: 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings (pp. 446-458). Cham: Springer International Publishing.

Benecki, P., Kostrzewa, D., Grzesik, P., Shubyn, B., & Mrozek, D. (2022, October). Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2073-2079). IEEE.

Syu, J. H., Lin, J. C. W., & Mrozek, D. (2022, December). An Efficient and Secured Energy Management System for Automated Guided Vehicles. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6357-6363). IEEE.

Marek, D., Biernacki, P., Szyguła, J., & Domański, A. (2022, December). General Concepts of a Simulation Method for Automated Guided Vehicle in Industry 4.0. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6306-6314). IEEE.

Szyguła, J., Biernacki, P., Marek, D., Domański, A., Sobczak, Ł., Flak, J., ... & Pawlas, P. (2022, December). Analysis of web-based geo-visualization methods applied for Automated Guided Vehicle using Satellite Navigation Systems. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6371-6377). IEEE.

Smołka, I., Stój, J., Gaj, P., & Fojcik, M. (2022, December). Communication between AGV and standalone station via EtherCAT using WiFi–proof of concept. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6337-6346). IEEE.

Cupek, R., Lin, J. C. W., & Syu, J. H. (2022, December). Automated Guided Vehicles Challenges for Artificial Intelligence. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6281-6289). IEEE.

Stęclik, T., Cupek, R., & Drewniak, M. (2022, December). Stream data clustering for engineering applications a use case of autonomous guided vehicles. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6347-6356). IEEE.

Pavliuk, O., Steclik, T., & Biernacki, P. (2022, December). The forecast of the AGV battery discharging via the machine learning methods. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 6315-6324). IEEE.

Ziebinski, A., Mrozek, D., Cupek, R., Grzechca, D., Fojcik, M., Drewniak, M., Kyrkjebø E., Lin J.CW., Øvsthus K.,  Biernacki, P., „Challenges Associated with Sensors and Data Fusion for AGV-Driven Smart Manufacturing,” Lecture Notes in Computer Science book series (LNCS), vol. 12742, pp. 595-608. Springer, Cham, June  2021.

Cupek, R., Drewniak, M., Steclik, T., „ Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles,”  Lecture Notes in Computer Science book series (LNCS), vol. 12742  pp. 458-470, Springer, Cham, June  2021.

Stój, J., Ziębiński, A., & Cupek, R. (2021). FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0. Enterprise Information Systems, 1-21.

Cupek, R., Fojcik, M., Gaj, P., & Stój, J. (2021, September). Ontology-Based Approaches for Communication with Autonomous Guided Vehicles for Industry 4.0. In International Conference on Computational Collective Intelligence (pp. 485-497). Springer, Cham.

Kampen, A. L., Fojcik, M., Cupek, R., & Stoj, J. (2021, September). Low-Level Wireless and Sensor Networks for Industry 4.0 Communication–Presentation. In International Conference on Computational Collective Intelligence (pp. 474-484). Springer, Cham.

Biernacki, P., Ziębiński, A., & Grzechca, D. (2021, September). The Adaptive Calibration Method for Single-Beam Distance Sensors. In International Conference on Computational Collective Intelligence (pp. 721-732). Springer, Cham.

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