Polski

English


Home

O mnie

Badania

Dla studentów

Publikacje

Kontakt

Publications -- Publikacje

  1. J. Bobulski, S. Szymoniak and K. Pasternak, "Safe data transmission in IoT system for air pollution monitoring," 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 5438-5443, doi: 10.1109/BigData59044.2023.10386637.
  2. M. Kubanek, J. Bobulski and L. Karbowiak, "Interpreting and understanding the image using deep learning and imprecise information from the monitoring system," 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 6183-6185, doi: 10.1109/BigData59044.2023.10386868.
  3. Bobulski, J.; Szymoniak, S.; Pasternak, K. An IoT System for Air Pollution Monitoring with Safe Data Transmission. Sensors 2024, 24, 445. https://doi.org/10.3390/s24020445
  4. Bobulski, Janusz; Szymoniak, Sabina. Deep Learning Method for Classifying Items into Categories for Dutch Auctions. Computer Assisted Methods in Engineering and Science, [S.l.], jan. 2024. doi: http://dx.doi.org/10.24423/cames.2024.979
  5. Bobulski, J., A Blockchain System for Fake News Detection. In: Park, J.S., Takizawa, H., Shen, H., Park, J.J. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2023. Lecture Notes in Electrical Engineering, (2024) vol 1112. Springer, Singapore. DOI https://doi.org/10.1007/978-981-99-8211-0_1
  6. Bobulski, J., Szymoniak, S., Pasternak, K., Air Pollution Monitoring and Information Distribution System. In: Burduk, R., Choraś, M., Kozik, R., Ksieniewicz, P., Marciniak, T., Trajdos, P. (eds) Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023 2023. Lecture Notes in Networks and Systems, (2023) vol 766. Springer, Cham. https://doi.org/10.1007/978-3-031-41630-9_18
  7. Bobulski, J. , Pasternak, K.. "Analysis of Histogram Asymmetry for Waste Recognition". World Academy of Science, Engineering and Technology, Open Science Index 202, International Journal of Computer and Information Engineering (2023), 17(10), 583 - 586.
  8. Kubanek M., Karbowiak L., Bobulski J., Detection of Dangerous Situations Near Pedestrian Crossings using In-Car Camera, 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023 Plzen, Czech Republic May 15 – 19, 2023
  9. Bobulski J., Kubanek M., The use of Artificial Intelligence for Automatic Waste Segregation in the Garbage Recycling Process, 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023 Plzen, Czech Republic May 15 – 19, 2023
  10. Bobulski, J., Kubanek, M., A method of cleaning data from IoT devices in Big data systems, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, Tokio, Japan, pp. 6596 - 6598, 2022 DOI - 10.1109/BigData55660.2022.10020651 (70 pkt.)
  11. Kubanek M., Bobulski J., Karbowiak L., Intelligent Identity Authentication, Using Face and Behavior Analysis, Proceedings of the ETHICOMP 2022, Effectiveness of ICT ethics – How do we help solve ethical problems in the field of ICT?, Eds. Jani Koskinen, Kai K. Kimppa, Olli Heimo, Juhani Naskali, Salla Ponkala and Minna M. Rantanen, University of Turku, Turku School of Economics, Turku, Finland, pages 42-51, 2022. (70 pkt)
  12. Karbowiak L., Bobulski J., Background segmentation in difficult weather conditions (2022) PeerJ Computer Science, 8, pp. 1 - 33, DOI: 10.7717/peerj-cs.962 (70 pkt.)
  13. Bobulski J., Kubanek M., Robot for plastic garbage recognition, International Journal of Electrical and Computer Engineering (IJECE), Vol 12, No 3: June 2022. (JCR 70 pkt.)
  14. J. Bobulski, M. Kubanek, J. Kulawik, S. Szymoniak, Data Container for Autonomous Cars, Applied Human Factors and Ergonomics International, Human Systems Engineering and Design (IHSED2021): Future Trends and Applications, AHFE International, Volume 21, Issue 21, pp 2, 2022, (20 pkt.)
  15. Bobulski J., Kubanek M., 2021. Data Model For Bigdata System For Multimedia. In 2021 3rd Asia Pacific Information Technology Conference (APIT 2021). Association for Computing Machinery, Bangkok Thailand January 15 - 17, 2021, 12–17. DOI: doi.org/10.1145/3449365.3449368 (20 pkt)
  16. Bobulski, J., Kubanek, M., Deep Learning for Plastic Waste Classification System, Applied Computational Intelligence and Soft Computing, Hindawi, 2021, DOI 10.1155/2021/6626948. (20 pkt)
  17. Bobulski J., Kubanek M., Vehicle For Plastic Garbage Gathering, 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021, pp. 1-5, doi: 10.1109/ICECCME52200.2021.9591096. (20 pkt.)
  18. Bobulski J., Kubanek M., Multimedia Container for Autonomous Car, Image Analysis and Recognition, November 29-30, 2021 - Israel, Jerusalem, Paper Code 21IL110007, (Core C – 20 pkt)
  19. M. Kubanek, K. Bartłomiejczyk, J. Bobulski, Detection of Artificial Images and Changes in Real Images Using Convolutional Neural Networks, 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020), Advances in Intelligent Systems and Computing AISC, volume 1267, pp 197-207, January 2021,(Core B - 70 pkt.)
  20. Karbowiak L., Kubanek M., Bobulski J., Comparison the Ultrasonic Distance Sensor with the Lidar in Different Conditions, 4th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2021), February 22-24, Advances in Inteligent Systems and Computing, vol 1322, pp 111-115, 2021, Palermo, Italy.(20 pkt.)
  21. Bobulski J., Kubanek M., Autonomous Robot for Plastic Waste Classification, 4th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2021), February 22-24, Advances in Inteligent Systems and Computing, vol 1322, pp 371-376, 2021, Palermo, Italy, 2020.(20 pkt.)
  22. BobulskiJ., Kubanek M., Big Data System for Medical Images Analysis, Proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), Machine Learning and Artificial Intelligence, Frontiers in Artificial Intelligence and Applications, Volume 332, pp 71-79, 23-28 September 2020, Seul Korea. pdf
  23. Bobulski J., Kubanek M., The Triple Histogram Method for Waste Classification, AIP Conference Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2019, (red.) SIMOS Theodore, TSITOURAS Charalambos, Volume 2293, 2020, pdf
  24. Kubanek M,. Bobulski J., Kulawik J., Recognizing Speech Commands Using Convolutional Neural Network, AIP Conference Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2019, (red.) SIMOS Theodore, TSITOURAS Charalambos, Volume 2293, 2020,
  25. Bobulski J., Kubanek M.: Project of Sorting System for Plastic Garbage in Sorting Plant Based on Artificial Intelligence, 9th International Conference on Advanced Information Technologies and Applications (ICAITA 2020), July 11-12, 2020, Toronto, Canada, Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds), ISBN : 978-1-925953-23-7.
  26. Bobulski J., Kubanek M.: Design data model for Big Data analysis system, 20th Advanced Concepts for Intelligent Vision Systems, 10-14 February 2020, Auckland, New Zeland.
  27. Bobulski J., Kubanek M.: Data Model For BigDeepExaminator, 5th International Conference on Data Mining and Applications DMAP 2019, 14-15 December 2019, Chennai, India.
  28. Bobulski J., Kubanek M.: Design Big Data analysis system – BigDeepExaminator, 2nd International Conference on Big Data and Machine Learning BDML 2019, 8-11 November 2019, Chengdu, China.pdf
  29. Bobulski, J., Kubanek, M., Waste Classification System Using Image Processing and Convolutional Neural Networks, Lecture Notes in Computer Science, 11507 LNCS, 2019, pp. 350-361. doi=10.1007/978-3-030-20518-8_30
  30. Bobulski J., Kubanek M.: Plastic waste classification system using image processing and deep learning, 7th International Conference on Recycling and Waste Management, October 3-4, 2019, Melbourne, Australia.
  31. Kubanek M., Bobulski J., Kulawik J.: A Method of Speech Coding for Speech Recognition Using a Convolutional Neural Network. Symmetry, 11, 1185, 2019.
  32. Bobulski J., Kubanek M.: CNN use for plastic garbage classification method, 25TH ACM SIGKDD Conference On Knowledge Discovery And Data Mining, Workshop on Data Mining and AI for Conservation, 4-8 August 2019, Anchorage, Alaska, USA.
  33. Bobulski J., Kubanek M., Kulawik J.: The method of waste classification based on triple histogram, International Conference on Digital Image and Signal Processing (DISP 2019), 29-30 April, 2019, St Hugh's College, University of Oxford, Oxford, United Kingdom.
  34. Kubanek M, Bobulski J., Device for Acoustic Support of Orientation in the Surroundings for Blind People, Sensors 2018, 18(12), 4309; DOI,
  35. Bobulski J., Rozpoznawanie wzorców 2D i 3D na obrazach cyfrowych za pomocą ukrytych modeli Markowa, Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2018.ISBN 978-83-7837-065-9.
  36. Bobulski J., Iris identification method using only a section of the pattern, Optica Applicata, Vol. XLVIII, No. 1, 2018, 149-160. DOI: 10.5277/oa180114 PDF
  37. Bobulski J., Piątkowski J., PET waste clasi cation method and Plastic Waste DataBase WaDaBa, Conference Proc. IP&C 2018, Advances in Intelligent Systems and Computing, vol. 681, Springer Verlag, 2018, pp.57-64.PDF
  38. Jakubski A., Bobulski J., On the way to perfect steganography, Conference Proc. IP&C 2018, Advances in Intelligent Systems and Computing, vol. 681, Springer Verlag, 2018, pp.49-56.PDF
  39. Kubanek, M., Bobulski, J., The use of hidden Markov models to verify the identity based on facial asymmetry. Eurasip Journal on Image and Video Processing, 2017 (1) doi:10.1186/s13640-017-0193-2, PDF
  40. Bobulski J., Multimodal face recognition method with two-dimensional hidden Markov model, Bulletin of the Polish Academy of Sciences Technical Sciences. Volume 65, Issue 1, Pages 121–128, ISSN (Online) 2300-1917, on line, February 2017.
  41. Bobulski J., Face Recognition with 3D Face Asymmetry, Image Processing & Comunication Chalenges 8, Advances in Intelligent Systems and Computing, vol. 525, Springer Verlag, 2017, pp.53-60,PDF
  42. Bobulski, J. Parallel facial recognition system based on 2DHMM, Advances in Intelligent Systems and Computing, vol. 534, Springer Verlag, 2017, pp. 258-265. PDF
  43. Bobulski J., Face Recognition Method with Two-dimensional HMM, Proc. of the 9th International Conference on Computer Recognition Systems CORES 2015, Burduk R. et.al, Advances in Intelligent Systems and Computing, vol. 403, Springer Verlag, 2016, 317-326. PDF
  44. Bobulski J., 2DHMM-based Face Recognition Method, Image Processing & Comunication Chalenges 7, Advances in Intelligent Systems and Computing, vol. 389,Springer Verlag, 2016, pp. 11-18. PDF
  45. Bobulski J., Comparison of the effectiveness of 1D and 2D HMM in the pattern recognition, Image Processing & Communications, Vol 19, No 1, 2015, 5-12. PDF
  46. Bobulski J., Piech H., Road signs recognition with two-dimensional hidden Markov models, Przegląd Elektrotechniczny, 91, 2/2015, 123-126.
  47. Bobulski J., Two-dimensional Hidden Markov Models in Road Signs Recognition, Image Processing & Comunication Chalenges 6, Advances in Intelligent Systems and Computing, vol.313, Springer Verlag, 2015, pp. 3-12. PDF
  48. Bobulski J., Ukryte modele Markowa w rozpoznawaniu dwuwymiarowych wzorców na obrazach cyfrowych, Akacdemicka Oficyna Wydawnicza EXIT, Warszawa, 2013.
  49. Bobulski J., Hidden Markov Models for Two-dimensional data, Proc. of the 8th International Conference on Computer Recognition Systems CORES 2013, Burduk R., Jackowski K., M. Kurzyński, M. Woźniak, A. Żołnierek, Advances in Intelligent Systems and Computing, vol. 226, Springer Verlag, 2013, 141-149. PDF
  50. Bobulski J., Adrjanowicz L., Two-Dimensional Hidden Markov Models For Pattern Recognition, Lecture Notes in Artificial Intelligence, Part I, 7894, 2013, 515-523. PDF
  51. Adrjanowicz L., Kubanek M., Bobulski J., Single Camera Based Location Estimation with Dissimilarity Measurement, 6-th International Conference on Human System Interaction, HSI 2013, 2013,
  52. Adrjanowicz L., Kubanek M. , Bobulski J., Motion Estimation in Visual Odometry Under Nonholonomic Constraints and Planarity, Materiały konferencyjne ICT Young 2013, 185-192, 2013,
  53. Bobulski J., Acces control system using face image, Control & Cybernetics,vol. 41, No. 3 (2012), 691-703 PDF
  54. Bobulski J., Kubanek M., Person identification system using an identikit picture of the suspect, Optica Applicata, Issue 4, vol.42 (2012), 865-873. PDF
  55. Kubanek M., Bobulski J., Adrjanowicz L., Characteristics of the use of coupled hidden Markov models for audio-visual Polish speech recognition, Bulletin of the Polish Academy of Sciences - Technical Sciences, 2012, 60, 2, 307-316, June. PDF
  56. Kubanek M., Bobulski J., Adrjanowicz L., Lip Tracking Method for the System of Audio-Visual Polish Speech Recognition, Lecture Notes in Artificial Intelligence, 2012, Part I, 7267, 535-542.
  57. Adrjanowicz L., Bobulski J., Kubanek M., State estimation in simultaneous localization and mapping for non linear processes with extended Kalman filter, Materiały konferencyjne ICT Young 2012, 25-27 maj 2012, Gdańsk, 2012, 511-516. PDF
  58. Bobulski, A hybrid method for face detection, Pomiary Automatyka Kontrola, 12/2010, 2010, 1498-1500. PDF
  59. Bobulski J., Speaker Identification System, Image Processing & Communications Challenges. Challenging Problems of Science Theory and Applications, 2009, 128-135.
  60. Bobulski J., Selection of parameters of HMM, Pomiary, Automatyka, Kontrola, 10/2009, 2009, 844-846. PDF
  61. Bobulski J., Analysis of 2D problem In HMM, Metody Informatyki Stosowanej, 2008, 4, 17, 27-33.
  62. Bobulski J., Problematyka Ukrytych Modeli Markowa w Rozpoznawaniu Obrazów, VI Sympozjum Modelowanie i Symulacja Komputerowa w Technice, Łódź, 2008, 7-10.
  63. Bobulski J., Analysis of 2D problem In HMM, Polish Journal of Environmental Studies, Vol. 17, No 4C, 2008, str.414-417. PDF
  64. Bobulski J., Identyfikacja oczu za pomocą UMM, XV Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna, Wrocław, 12-15.09.2007r.
  65. Bobulski J., Text independent Speaker recognition. Computing, Multimedia and Intelligent Techniques, 2007, 3, 1, August, 101-107. PDF
  66. Bobulski J., Wavelet Transform in Face Recognition,In: Saeed K., Pejaś J., Mosdorf R., Biometrics, Computer Security Systems and Artificial Intelligence Applications, Springer Science + Business Media, New York, USA 2006, 23-29. PDF
  67. Bobulski J., HMM and WT Fusion for Face Identification, Proc. of the 4th International Conference on Computer Recognition Systems CORES'05, 2005, 759-766, M. Kurzyński, E. Puchała, M. Woźniak, A. Żołnierek, Springer-Verlag Berlin Heidelberg. PDF
  68. Bobulski J., Wavelet Transform in Face Recognition, Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications, K. Saed, R. Mosdorf, J. Pejaś, P. Hilmola, Z. Sosnowski, 2005, 321-328.
  69. Bobulski J., The Method of User's Identification Using the Fusion of Wavelet Transform and Hidden Markov Models, Computing, Multimedia and Intelligent Techniques, 2005, 1, 1, 173-180, June. PDF
  70. Bobulski J., Ekstrakcja cech twarzy za pomocą transformaty falkowej, Informatyka Teoretyczna i Stosowana;3(4)2003, s.127-134 PDF
  71. Bobulski J., The Face Recognition Technique Using Waveletface, Hidden Markov Model, and Maximum Likelihood Principle, ACS'2003, Miêdzyzdroje, X 2003, 22-24.
  72. Bobulski J., Metoda Identyfikacji Twarzy w Oparciu o Ukryte Modele Markowa, Informatyka Teoretyczna i Stosowana, 3(5), 2003 PDF,
  73. Kompanets L., Bobulski J., Wyrzykowski R., Pseudo-Entropy Similarity for Human Biometrics. Post-ECCV02 (7 th European Conference on Computer Vision 2002) Workshop on Biometric Authentication. 1 st June, 2002, Copenhagen, Denmark. In: Lecture Notes in Computer Science, Vol. 2359, Springer-Verlag, 2002, pp. 67-77. PDF
  74. Bobulski J., Metoda rozpoznawania twarzy z wykorzystaniem pseudo-entropijnego kryterium. Informatyka Teoretyczna i Stosowana, Wydawnictwo Politechniki Częstochowskiej, Częstochowa 2002, nr 2, s. 69-74.
  75. L. Kompanec, J. Bobulski, Badanie podstawowych właściwości korelacyjnych, entropijnych i pseudoentropijnych kryteriów progowania scen niejednorodnych. Informatyka Teoretyczna i Stosowana, Wydawnictwo Politechniki Częstochowskiej, PL ISSN 1643-2355, rocznik 1, Nr 1, 2001, s. 9-16.
  76. Bobulski J., Porównanie efektywnności kryteriów progowania scen niejednorodnych. V Konferencja, Komputerowe systemy wspomagania nauki, przemysłu i transportu TRANSCOMP, Zakopane, 5-7 Grudnia 2001 r.