Wybrane publikacje |
1 | Referat konferencyjny 2024
Cervical cell segmentation and classification using U-Net and hybrid VGG19-AlexNet architecture. W: 2024 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, November 18-20, 2024 / eds. Esubalew Alemneh, Fisseha Mekuria, Ethiopia Nigussie. Danvers, MA : IEEE, cop. 2024. s. 37-42. ISBN: 979-8-3315-2780-8; 979-8-3315-2779-2 | Zasoby:DOIURL | |
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2 | Artykuł 2024
Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture. Neural Computing & Applications. 2024, s. 1-15. ISSN: 0941-0643; 1433-3058 | Zasoby:DOIURL | |
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3 | Artykuł 2024
Segmentation and classification techniques for pap smear images in detecting cervical cancer: a systematic review. IEEE Access. 2024, vol. 12, s. 118195-118213. ISSN: 2169-3536 | Zasoby:DOIURLSFX | |
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4 | Referat konferencyjny 2024
Segmentation of cytology images to detect cervical cancer using deep learning techniques. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 4 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 270-278. ISBN: 978-3-031-63771-1; 978-3-031-63772-8 | Zasoby:DOIURLSFX | |
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5 | Referat konferencyjny 2024
Data augmentation techniques to detect ccervical cancer using deep learning: a systematic review. W: System Dependability - Theory and Applications : Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 1-5, 2024, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2024. s. 325-336. ISBN: 978-3-031-61856-7; 978-3-031-61857-4 | Zasoby:DOIURLSFX | |
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6 | Referat konferencyjny 2023
Detection of objects dangerous for the operation of mining machines. W: Computational Science - ICCS 2023 : 23rd International Conference Prague, Czech Republic, July 3-5, 2023 : proceedings. Pt. 4 / eds. Jiří Mikyška [i in.]. Cham : Springer, cop. 2023. s. 128-139. ISBN: 978-3-031-36026-8; 978-3-031-36027-5 | Zasoby:DOIURLSFX | |
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7 | Referat konferencyjny 2023
Detection of oversized objects in a video stream using an image classification with deep neural networks. W: Dependable Computer Systems and Networks : proceedings of the Eighteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 3-7, 2023, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2023. s. 95-104. ISBN: 978-3-031-37719-8; 978-3-031-37720-4 | Zasoby:DOIURLSFX | |
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8 | Referat konferencyjny 2021
New loss function for multiclass, single-label classification. W: Theory and Engineering of Dependable Computer Systems and Networks : proceedings of the Sixteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 28-July 2, 2021, Wrocław, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2021. s. 146-155. ISBN: 978-3-030-76772-3; 978-3-030-76773-0 | Zasoby:DOIURLSFX | |
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9 | Rozdział w monografii 2020
Modelowanie nieliniowych obiektów dynamicznych za pomocą jednokierunkowych sieci neuronowych. W: Wybrane inteligentne metody automatyki i modelowania / red. Wojciech Rafajłowicz. Warszawa : Akademicka Oficyna Wydawnicza EXIT, cop. 2020. s. 31-51. ISBN: 978-83-7837-103-8 |
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10 | Artykuł 2020
Łukasz Kuźmiński, Piotr Maśloch, Marek Bazan, Tomasz Janiczek, Krzysztof Halawa, Henryk Wojtaszek, Ireneusz Miciuła, Tomasz Chajduga, Adam Hubert Kawecki, Robert J Czwartosz, Jakub Stawik, Management of delay optimization at intersections. Energies. 2020, vol. 13, nr 12, art. 3087, s. 1-22. ISSN: 1996-1073 | Zasoby:DOIURLSFX | |
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