Публикации

Монография

Б.Вачова „Извличане на знания с методите на изкуствен интелект и многозначна логика.”, 128 стр, Издателство ‘Образование и Познание’,2019,София,ISBN 978-619-7515-13-8. Заглавна страница

Дисертация

Б.Вачова „Извличане и оценяване на надеждността на знания за многофакторни технологични процеси”, 2009,София,167стр.

Глави от книги

  1. Sanders, D., Tewkesbury, G., Haddad, M., Huang, Y., Vatchova, B. Intelligent control of a semi-autonomous Assistive Vehicle. IntelliSys: Proceedings of SAI Intelligent Systems Conference, 294, 2021, DOI: 10.1007/978-3-030-82193-7_40, p.613-621. SJR (Scopus):0.184,   Intelligent Control of a Semi-autonomous Assistive Vehicle | SpringerLink
  2. Sanders D., Haddad H., Omoarebun P., Ikwan F., Chiverton J., Zhou S., Rogers I., Vatchova B. Intelligent Control and HCI for a Powered Wheelchair Using a Simple Expert System and Ultrasonic Sensors. Proceedings of SAI Intelligent Systems Conference, 3, 1252, Springer, 2020, https://doi.org/10.1007/978-3-030-55190-2_42, p.571-583. SJR (Scopus):0.184, Intelligent Control and HCI for a Powered Wheelchair Using a Simple Expert System and Ultrasonic Sensors | SpringerLink
  3. Sanders D., Haddad M., Langner M., Omoarebun P., Chiverton J., Hassan M., Zhou S., Vatchova B., Introducing Time-Delays to Analyze Driver Reaction Times When Using a Powered Wheelchair. Proceedings of SAI Intelligent Systems Conference, 3, 1252, Springer, 2020, https://doi.org/10.1007/978-3-030-55190-2_41, p.559-570. SJR (Scopus):0.184, Introducing Time-Delays to Analyze Driver Reaction Times When Using a Powered Wheelchair | SpringerLink
  4. Vatchova B., Gegov A. Production rule and network structure models for knowledge extraction from complex processes under uncertainty. Chapter Recent Contributions in Intelligent Systems. Series Studies in Computational Intelligence.Editors Sgurev et al.. Recent Contributions in Intelligent Systems Editors Ed. Sgurev V., Ronald R. Y., Kacprzyk J., Krassimir T. A., 657, Springer International Publishing Switzerland 2017, ISBN:978-3-319-41437-9, DOI:10.1007/978-3-319-41438-6_20, pp.379-390. SJR: 0.19. https://link.springer.com/chapter/10.1007/978-3-319-41438-6_20.
  5. Gegov E., Postorino M, Gegov A, Vatchova B. Space independent community detection in airport networks. Complex Systems.Relationships between Control, Communications and Computing. Studies in Systems, Decision and Control. Editor Dimirovski G.M. 55, Springer, 2016, ISBN:”978-3-319-28860-4″, DOI: 10.1007/978-3-319-28860-4, 211-248. https://link.springer.com/chapter/10.1007/978-3-319-28860-4_10.
  6. Vatchova B. Application of Genetic Algorithms by means of Pseudo Gradient. Computational Intelligence, Theory and Applications Ed. by Bernd Reusch, 33, SPRINGER-Verlag Berlin Heidelberg, 2005, ISBN:ISBN-10 3-540-22807-1, 17-24. SJR: 0.233. https://books.google.bg/books?id=NyIguQjGk-MC&pg=PA17&lpg=PA17&dq=Boriana+Vatchova+Genetic+Algorithms+2005&source=bl&ots=Hqi5Jl_B3V&sig=X-3q2q5vQdjKLpS6HDrcLZ_kBVE&hl=bg&sa=X&ved=0ahUKEwjz4L-4qvXXAhXHE5oKHZZ6BcIQ6AEIMDAB#v=onepage&q=Boriana%20Vatchov.

Научни публикации в специализирани списания и сборници

  1. Gegov A., Arabikhan, F., Sanders D., Vatchova B., Vasileva T. Fuzzy networks with feedback rule bases for complex systems modelling. 4, 21, International Journal of Knowledge-based and Intelligent Engineering Systems – Volume 21, issue 4, 2017, DOI: 10.3233/KES-170365, 211-225. SJR: 0.144. https://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes365.
  2. Gegov A., Petrov N., Sanders D., Vatchova B. Boolean matrix equations for node identification in fuzzy rule based networks. 4, 21, International Journal of Knowledge-based and Intelligent Engineering Systems – Volume 21, issue 4, 2017, ISSN: 1875-8827 (E), DOI: 10.3233/KES-170353, 69-83. SJR: 0.144. https://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes353 .
  3. Gegov A., Petrov N., Sanders D., Vatchova B. Modular rule base fuzzy networks for linguistic composition based modelling. 21, International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 21, no. 2, 2017, DOI: 10.3233/KES-170352, 53-67. SJR: 0.144. https://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes352.
  4. Gegov A., Sanders D., Vatchova B. Aggregation of inconsistent rules for fuzzy rule base simplification. 3, 21, International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 21, no. 3, 2017, DOI: 10.3233/KES-170358, 135-145. SJR: 0.144. https://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes358.
  5. Gegov A., Sanders,D., Vatchova,B. Mamdani Fuzzy Networks with Feedforward Rule Bases for Complex Systems Modelling. Journal of Intelligent and Fuzzy Systems, vol. 30, no. 5, 2016, ISSN: 1064-1246, DOI: 10.3233/IFS-151911, pp. 2623-pp.2637. ISI IF: 1.812. https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs1911.
  6. Gegov A., Sanders,D., Vatchova,B. Complexity management methodology for fuzzy systems with feedforward rule bases. International Journal of Knowledge-based and Intelligent Engineering Systems, vol.19, 2, IOS Press Content Library, 2015, ISSN: 1327-2314 (P) ISSN 1875-8827 (E), DOI: 10.3233/KES-150310, 83-95. SJR: 0.246. https://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes310?resultNumber=5&totalResults=17&start=0&q=gegov&resultsPageSize=10&rows=10
  7. Gegov A., Sanders,D., Vatchova,B. Complexity management methodology for fuzzy systems with feedback rule bases. 26, 1, Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 451-464, 2014, 2014, DOI:DOI: 10.3233/IFS-130857, 451-464. ISI IF: 1.479. https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs857.
  8. Gegov A., Petrov,N., Vatchova,B. Sanders,D. Advanced modelling of complex processes by fuzzy networks. 10, 10, WSEAS Transactions on Circuits and Systems, 2011, ISSN: 1109-2734, 319-330. SJR: 0.399. http://www.wseas.us/e-library/transactions/circuits/2011/53-524.pdf .

Научни публикации от конференции:

  1. Vatchova, B., Boneva, Y., Gegov, A. Heuristic Fuzzy Control of Traffic Junctions in Urban Areas. Proceedings of the 7th IEEE International Conference “Big Data, Knowledge and Control Systems Engineering” (BdKCSE’2021), IEEE, (приета за печат),2021.
  2. Gogi G., Gegov A., Bader-El-Den M., Vatchova B. Application of Deep Learning in Cardiovascular Medicine using Multiple Biomedical Data. 1, 2020 Tenth International IEEE Conference on Intelligent Systems Sofia, Bulgaria, 2020, ISSN:1541-1672, DOI:10.1109/IS48319.2020.9199844, p.200-205, Application of Deep Learning in Cardiovascular Medicine using Multiple Biomedical Data | IEEE Conference Publication | IEEE Xplore
  3. Jafari R., Razvarz S., Gegov A., Vatchova B. A Survey on Applications of Neuro-Fuzzy Models. 1, 2020 Tenth International IEEE Conference on Intelligent Systems Sofia, Bulgaria, 2020, ISSN:1541-1672, DOI:10.1109/IS48319.2020.9200185, p.148-153, A Survey on Applications of Neuro-Fuzzy Models | IEEE Conference Publication | IEEE Xplore
  4. Jafari R., Razvarz S., Gegov A., Vatchova B. Deep Learning for Pipeline Damage Detection: An Overview of the Concepts and a Survey of the State-of-the-Art. 1, 2020 IEEE 10th International Conference on Intelligent Systems (IS), 2020, ISSN:1541-1672, DOI:10.1109/IS48319.2020.9200137, p.178-183, Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art | IEEE Conference Publication | IEEE Xplore
  5. Vatchova B., Sanders D., Mo Adda, Gegov A. Knowledge Based Modelling of Complex Interconnected Systems. Proceedings of the 2019 IEEE Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE), 2019, ISSN:978-1-7281-6481-6/19/$31.00 ©2019 IEEE, Knowledge Based Modelling of Complex Interconnected Systems | IEEE Conference Publication | IEEE Xplore
  6. B.Vatchova,A. Gegov, D.Sanders, Mo Adda „Knowledge Based Modelling for Complex Interconnected Processes.”, The 6th IEEE International Conference “Big Data, Knowledge and Control Systems Engineering” –BdKCSE’2019,21-22.11.2019, София,България.
  7. Vatchova B. E., Pavlova K. T., Paunova E. N., Stoilova K.P. Deep learning of complex interconnected processes for be-level optimization problem under uncertainty. Year III, Issue 1, published by Scientific Technical Union of Mechanical Engineering “Industry 4.0”, Bulgaria, 2018, ISSN (print) 2543-8582, 18-19. http://www.stumejournals.com/i4/2018/1-2018.pdf.
  8. Pavlova K. T, Vatchova B. E., Paunova E. N., Stoilova K.. Integration of data for the definition of be-level optimization problem in information service. Year III, Issue 1, published by Scientific Technical Union of Mechanical Engineering “Industry 4.0”, Bulgaria, 2018, 15-17. http://www.stumejournals.com/i4/2018/1-2018.pdf.
  9. Vatchova B., Gegov A. Knowledge extraction methods for complex processes operating under uncertainty. Intelligent Systems (IS), 2012 6th IEEE International Conference, 2012, DOI:10.1109/IS.2012.6335183, pp.009-013. http://ieeexplore.ieee.org/document/6335183/.
  10. Vatchova B. Logical method for knowledge discovery based on real data sets. Proceedings of the IADIS European Conference Data Mining. Volume Editor: Ajith P. Abraham, 2011, ISBN: 978-972-8939-53-3, 203-207. http://ims.mii.lt/ims/konferenciju_medziaga/MCCSIS/DM_2011.pdf.
  11. Gegov,A., Petrov,N., Vatchova,B.. Advanced modeling of complex processes by rulebased networks. Proceedings of 5th IEEE International Conference on Intelligent Systems, 7–9 July, London, UK, 2010, DOI:10.1109/IS.2010.5548336, 197-202. http://ieeexplore.ieee.org/document/5548336/.
  12. Gegov. E.D., Vatchova B. Extraction of knowledge for complex objects from experimental data using functions of multi-valued logic. European Conference on Complex Systems, Coventry, UK, ECCS’09, 2009. https://warwick.ac.uk/fac/cross_fac/complexity/newsandevents/events/archive/2009/eccs09/programmeabstracts.pdf.
  13. Gegov E. A., Vatchova B., Gegov E.D. Multi-valued logical method for knowledge extraction and updating in real time. Intelligent Systems, 2008. IS ’08. 4th International IEEE Conference, vol.2, pp. 17.6-17.8, 2008.
    2008, DOI:10.1109/IS.2008.4670545, SJR: 0.763. http://ieeexplore.ieee.org/abstract/document/4670545/.
  14. Вачова Б., Особености на интелигентните софтуерни системи и системите основани на знания. Трудове на ИККС-БАН, Том I, година I, стр.148-153, 2007, ISSN 1313 – 2210.
  15. Vatchova B., Systems for Logical Control based on a priory Knowledge, 3rd Balkan Conference in Informatics (BCI’2007), 27-29 September 2007, vol.3, pp.77-82, Sofia, Bulgaria.
  16. Vachova B., Relational Method for Assessment Degree of Agreement between the Expert’s Opinion and Investigations. Proceedings of the International Conference on Information Technologies (InfoTech-2007), September 21-23, 2007, vol.2, pp.161-166, “St.St. Constantine and Elena”, Bulgaria
  17. B.Vachova., Conception and Method for Intelligent Control of Multi-factor Technological Processes. International Workshop:“Advances and Applications of Dezert-Smarandache Theory for Plausible and Paradoxical Reasoning for Information Fusion”, Institute for Parallel Processing-BAS, 14 December, 2006 (accepted).p. 28-31.
  18. B.Vachova, E. Gegov. Knowledge Discovery Using Interpolation of Multi-Valued Logical Functions. Proceedings of the 20th International Conference on Systems for Automation of Engineering and Research, SAER-2006, p. 254-260, 23-24 September, Resort of St.St. Constanitine and Elena, Bulgaria.
  19. B.Vachova., Extraction of Complex Knowledge using Interpolation and Generalization of Local Knowledge. Proceedings of International Scientific Conference on Informatics in the Scientific Knowledge, vol.1, p.370-376, 28-30 June, 2006, Varna, Bulgaria.
  20. Vatchova B. Knowledge Discovery Using Multi-Valued Logic, 19th Iinternational Conference on Systems for Automation of Engineering and Research-SAER, 22-24 September, 2005, “St.Konstantin and Elena”, Bulgaria, p.234-237.
  21. Vatchova B., S.Vasileva. Improved Genetic Algorithm for Determinate of Local Area of Compromise by Multi-criterion Optimization, ETAI – 2005, Proceedings of VII National Conference with International Participation, Ohrid, Macedonia, Sept.21-24, A51, p.A2-4.
  22. Vatchova B., Application of Genetic Algorithms by means of Pseudo Gradient. Book of Advances in Soft Computing, Computational Intelligence, Theory and Applications, Springer Verlag , Proceedings of International Conference on 8th Fuzzy Days, Dortmund, Germany 29 September-1 October 2004, p.17-24.
  23. Vatchova B., Data Mining by means of Logically and Probability functions. LASER Summer School on Software Engineering 12-18 September 2004, Elba, Italy. Poster Session, p.14.
  24. Vatchova B., Genetic Algorithms with Improved Efficiency. 16 International Symposium and Young Scientists School on Bioprocess Systems 03,11-13 November, Sofia, Bulgaria. On CD, I.22-I.25.
  25. Vatchova B., New Trends in Electronic Commerce Connected with Exchange of Messages. National Scientific Conference “Automatics and Informatics” 99, Sofia, 19-22 October 1999, Symposium “Problems of information technologies”, Sofia, Proceedings, p. 87-90.
  26. Tanev I., B. Vatchova. Computer Networks-Dynamic Models of Routing of Announcements. National Scientific Conference “Automatics and Informatics” 98, 20-23.October1998, Symposium “Problems of information technologies”, Sofia, Proceedings, p. 25-28.
  27. Vatchova B., S.Penchev. Routing of Announcements in Computer Networks. High Military School. “V.Levski”, 25-26 June 1998.
  28. Vatchova B., Problems Connecting of Traffic Routing in Computer and Communication Networks. National Scientific Conference “Automatics and Informatics” 97, Proceedings, vol.6, 1997,69-72.
  29. Vatchova B., S.Penchev. Analytical and Numerical Methods for Modeling and Optimization of Traffic in Computer Networks. Scientific Conference, “Perspective in development of military technique “, 17-19 December 1997, Sofia, p.251-253.
  30. Stoilov T., B.Vatchova. Algorithms for on line solution of Nonlinear Optimization Problems in MATLAB Environment. National Scientific Conference “Automatics and Informatics” 96, 9-11 October, Sofia, Proceedings, p.212-215.
  31. Stoilova K., B.Vatchova ,I.Tanev. Optimal Control of Traffic queues by Acoustic Measurements. National Scientific Conference “Automatics and Informatics” 95, Proceedings, Sofia, p.467-470

Сборник с доклади

  1. Бонева, Й., Вачова, Б. Стратегии за намаляване на риска в селското стопанство. Proceedings of International Conference “Robotics, Automation and Mechtronics’21″, RAM 21, Prof. Marin Drinov Academic Publishing House, (приета за печат): 2021, ISSN:1314-4634, 27-30 стр.
  2. Вачова, Б., Бонева, Й. Видове риск и управление на риска в селското стопанство. Proceedings of International Conference “Robotics, Automation and Mechtronics’21″, RAM 21, Prof. Marin Drinov Academic Publishing House, (приета за печат): 2021, ISSN:1314-4634, 23-26 стр.
  3. Вачова Б. СОФТУЕРНИ ПРОЦЕСИ ЗА МОДЕЛИРАНЕ НА ИНФОРМАЦИОННИ И УПРАВЛЯВАЩИ СИСТЕМИ. INTERNATIONAL CONFERENCE ROBOTICS, AUTOMATION AND MECHATRONICS ’ 20 RAM 2020 PROCEEDINGS July 24-26, 2020, Sofia, Bulgaria, Prof. Marin Drinov Academic Publishing House, 2020, ISSN:1314-4634, p.13-15.