Pawel Benecki

Orcid: 0000-0003-4674-5393

According to our database1, Pawel Benecki authored at least 24 papers between 2008 and 2024.

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Bibliography

2024
Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data.
Proceedings of the Computational Science - ICCS 2024, 2024

Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Federated Learning for improved prediction of failures in Autonomous Guided Vehicles.
J. Comput. Sci., April, 2023

A Sequential Approach for On-board Rock Detection from Lunar Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Perceptual Loss for Training Multi-Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment.
Proceedings of the Computational Science - ICCS 2023, 2023

Optimizing Telemetry Signal Influence for Power Consumption Prediction.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles.
Proceedings of the Computational Science - ICCS 2022, 2022

Designing a Training Set for Musical Instruments Identification.
Proceedings of the Computational Science - ICCS 2022, 2022

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Deep Learning for Multiple-Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2020

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
On Training Deep Networks for Satellite Image Super-Resolution.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?
Proceedings of the Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis, 2019

Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Optimizing Super-resolution Reconstruction using a Genetic Algorithm.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Evolving imaging model for super-resolution reconstruction.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Towards Evolutionary Super-Resolution.
Proceedings of the Applications of Evolutionary Computation, 2018

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction.
Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2008
Estimation of Similarity between Colour Images.
Proceedings of the New Trends in Multimedia and Network Information Systems, 2008


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