Preface : 2nd International workshop on machine learning and quantum computing applications in medicine and physics

• Autorzy: Krzemień Wojciech , Klimaszewski Konrad , Raczyński Lech

Identyfikatory

DOI

10.7494/csci.2025.26.SI.0001

• Języki publikacji: EN

Abstrakty

EN

This is a preface for the special issue including extended versions of the selected papers submitted to 2ND INTERNATIONAL WORKSHOP ON MACHINE LEARNING AND QUANTUM COMPUTING APPLICATIONSIN MEDICINE AND PHYSICS

Słowa kluczowe

EN

machine learning; medicine; physics

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2025
• Tom: T. 26 (SI)
• Strony: 5--8
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Krzemień Wojciech

• High Energy Physics Division, National Centre for Nuclear Research, 05-400 Otwock-Swierk, Poland

autor

Klimaszewski Konrad

• Department of Complex Systems, National Centre for Nuclear Research, 05-400 Otwock-Swierk, Poland

autor

Raczyński Lech

• Department of Complex Systems, National Centre for Nuclear Research, 05-400Otwock-Swierk, Poland

Bibliografia

• [1] 2nd International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics, https://events.ncbj.gov.pl/event/314/, 2024.
• [2] Anderlini L., Barbetti M., Bianchini G., Ciangottini D., Pra S.D., Michelotto D.,Petrini R., Spiga D.: Developing artificial intelligence in the cloud: the AIINFN Platform, Computer Science, vol. 26(SI), pp. 8–28, 2025. doi: 10.7494/csci.2025.26.SI.7071.
• [3] Cakir E., Hutt M.T.: A network-based computational pipeline to study the variability of transcriptome profiles for human diseases, Computer Science, vol. 26(SI), pp. 69–91, 2025. doi: 10.7494/csci.2025.26.SI.7067.
• [4] Kalaczynski P. on behalf of the KM3NeT Collaboration: Reconstruction of muon bundles in KM3NET detectors using machine learning method, Computer Science, vol. 26(SI), pp. 93–109, 2025. doi: 10.7494/csci.2025.26.SI.7062.
• [5] Ogonowski A., Zebrowski M., Cwiek A., Jarosiewicz T., Klimaszewski K., Padee A., Wasiuk P., Wojcik M.: Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on rawdata packets, Computer Science, vol. 26(SI), pp. 45–68, 2025. doi: 10.7494/csci.2025.26.SI.7079.
• [6] Raczynski L., Krzemien W., Klimaszewski K.: Improving pet scanner time-of-flight resolution using additional prompt photon, Computer Science, vol. 26(SI), pp. 127–145, 2025. doi: 10.7494/csci.2025.26.SI.7057.
• [7] Rybotycki T., Gawron P.: AQMLATOR – an auto quantum machine learning e-platform, Computer Science, vol. 26(SI), pp. 29–43, 2025. doi: 10.7494/csci.2025.26.SI.7063.
• [8] Suelves L.E., Pearson W.J., Pollo A.: Characteristic sky background features around galaxy mergers, Computer Science, vol. 26(SI), pp. 111–126, 2025. doi: 10.7494/csci.2025.26.SI.7072