Publications

First project stage

• Hensel S., Marinov M. B., Koch M., Arnaudov D., Evaluation of Deep Learning-Based Neural Network Methods for Cloud Detection and Segmentation, Energies, 14(19):6156, 2021, https://doi.org/10.3390/en14196156, URL: https://www.mdpi.com/1996-1073/14/19/6156

  • Scopus IF 3.004; Q1

• Ivanova M., Petkova P., Petkov P., Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice, Electronics, 10(22):2878, 2021, https://doi.org/10.3390/electronics10222878, URL: https://www.mdpi.com/2079-9292/10/22/2878

  • Scopus IF: 2.397; Q2

• Ivanova M., Petkova P., Petkov P., Statistics and Machine Learning for Behavioral Prediction of Operational Transconductance Amplifiers with Focus on Regression Analysis, 3rd International Conference on Computing and Data Science (CONF-CDS), 12-17 August, 2021, Stanford, US, In: Cao W., Ozcan A., Xie H., Guan B. (Eds.), Communications in Computer and Information Science, vol. 1513, 315–324, Springer, Singapore, Print ISBN: 978-981-16-8884-3, Online ISBN: 978-981-16-8885-0, https://doi.org/10.1007/978-981-16-8885-0_25, URL: https://link.springer.com/chapter/10.1007/978-981-16-8885-0_25

  • Scopus SJR 0.21; Q4

• Grethler M., Marinov M. B., Klumpp V., Embedded Machine Learning for Machine Condition Monitoring, EAI 5th International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures FABULOUS 2021, In: Perakovic D., Knapcikova L. (Eds.), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 382, 217-228, Springer, Cham, Print ISBN: 978-3-030-78458-4, Online ISBN: 978-3-030-78459-1, https://doi.org/10.1007/978-3-030-78459-1_16, URL:  https://link.springer.com/chapter/10.1007/978-3-030-78459-1_16 

  • Scopus SJR: 0.19; Q4

• Hensel S., Marinov M. B., Schwilk T., Nikolov D., Application of Gaussian Process Estimation for Magnetic Field Mapping, EAI 5th International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures FABULOUS 2021, In: Perakovic D., Knapcikova L. (Eds.), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 382, 284–298, Springer, Cham, 2021, Print ISBN: 978-3-030-78458-4, Online ISBN: 978-3-030-78459-1, https://doi.org/10.1007/978-3-030-78459-1_21, URL: https://link.springer.com/chapter/10.1007/978-3-030-78459-1_21

  • Scopus SJR: 0.19 Q4

• Hensel S., Marinov M. B., Schmitt M., Object Detection and Mapping with Unmanned Aerial Vehicles Using Convolutional Neural Networks, EAI 5th International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures FABULOUS 2021, In: Perakovic D., Knapcikova L. (Eds.), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 382, 254–267, Springer, Cham, 2021, Print ISBN: 978-3-030-78458-4, Online ISBN: 978-3-030-78459-1, https://doi.org/10.1007/978-3-030-78459-1_19, URL:  https://link.springer.com/chapter/10.1007/978-3-030-78459-1_19

  • Scopus SJR: 0.19; Q4

• Hensel S., Marinov M. B. and Schmitt M., Evaluation of an Inertial and Optical Sensors Based Mapping and Localization System, EAI 6th EAI International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures FABULOUS 2022, May 4-6, 2022, Zagreb, Croatia. (под печат)

  • Scopus Q4

• Ivanova M., Petkov Р., Machine Learning for In-Circuit Testing of Printed Circuit Board Assembly, 4th Artificial Intelligence and Cloud Computing Conference AICCC 2021, 17-19 December, 2021, Kyoto, Japan, ACM International Conference Proceeding Series, 221-228, ISBN: 978-145038416-2, https://doi.org/10.1145/3508259.3508291, URL: https://dl.acm.org/doi/10.1145/3508259.3508291

  • Scopus SJR: 0.23

• Hensel S., Marinov M., Seigel A., Ganev B., Experimental Setup for Neural Networks and Camera-Based Navigation of Mobile Systems, Proceedings of the 30th International Scientific Conference Electronics ET 2021, September 15-17, Sozopol, Bulgaria, 1-5, 2021, ISBN: 978-166544518-4, doi: 10.1109/ET52713.2021.9579521, URL:  https://ieeexplore.ieee.org/document/9579521

  • Scopus SJR: 0.11

• Grether M., Jieyang P., Marinov M. B., Ovtcharova J., Research on Fault Diagnosis Expert System of CNC Machine Tool Based on Expert Knowledge, Proceedings of the 30th International Scientific Conference Electronics ET 2021, September 15-17, 2021, Sozopol, Bulgaria, 1-4, ISBN: 978-166544518-4, doi: 10.1109/ET52713.2021.9579568, URL: https://ieeexplore.ieee.org/document/9579568

  • Scopus SJR: 0.11

• Tsenev V., Videkov V., Spasova N., Measurement of PCB Deformation during Parametric Testing and Evaluation of the Impact on the Installed Components, Proceedings of the 30th International Scientific Conference Electronics ET 2021, September 15-17, 2021, Sozopol, Bulgaria, 1-4, ISBN: 978-166544518-4, doi: 10.1109/ET52713.2021.9579659, URL: https://ieeexplore.ieee.org/abstract/document/9579659

  • Scopus SJR: 0.11

• Tsenev V., Videkov V., Spasova N., Comparative Analysis of the Measured Deformation of PCBA (Printed circuit board assembly) in the Production of Electronic Modules, Proceedings of the 30th International Scientific Conference Electronics ET 2021, September 15-17, 2021, Sozopol, Bulgaria, 1-4, ISBN: 978-166544518-4, doi: 10.1109/ET52713.2021.9579791, URL: https://ieeexplore.ieee.org/document/9579791 

  • Scopus SJR: 0.11

• Ivanova M., Tsenev V., Dimitrov B., Manufacturing Process Improvement through FMEA Analysis and Fuzzy Logic, Proceedings of the 30th International Scientific Conference Electronics ET 2021, September 15-17, Sozopol, Bulgaria, 1-5, 2021, ISBN: 978-166544518-4, doi: 10.1109/ET52713.2021.9579721, URL: https://ieeexplore.ieee.org/document/9579721

  • Scopus SJR: 0.11

• Tsenev V., Automatic Quality Control of a Connector Assembly Line, 2022 13th National Conference with International Participation (ELECTRONICA), 2022, pp. 1-4, doi: 10.1109/ELECTRONICA55578.2022.9874432.

  • Scopus SJR: 0.11

• Tsenev V., Peshev N., Measurement and Analysis of the Peel Strength for Solder Joints in LGA Electronic Assembly Using Statistical Methods, 2022 13th National Conference with International Participation (ELECTRONICA), 2022, pp. 1-4, doi: 10.1109/ELECTRONICA55578.2022.9874402.

  • Scopus SJR: 0.11

• Tsenev V., Automatic Preparation of Contact Packages for Overmolding Using Robots, 2022 13th National Conference with International Participation (ELECTRONICA), 2022, pp. 1-4, doi: 10.1109/ELECTRONICA55578.2022.9874396.

  • Scopus SJR: 0.11

• Tsenev V., Monitoring and Stabilization of the Fully Automatic Robotic Sensor Assembly Line in the Conditions of Digital Twins, 2022 45th International Spring Seminar on Electronics Technology (ISSE), 2022, pp. 1-5, doi: 10.1109/ISSE54558.2022.9812839.

  • Scopus SJR: 0.17

• Tsenev V., Videkov V., Combined Jet Printed and Screen Printed Solder Paste Deposit - Evaluation of Results, 2022 45th International Spring Seminar on Electronics Technology (ISSE), 2022, pp. 1-6, doi: 10.1109/ISSE54558.2022.9812795.

  • Scopus SJR: 0.17

• Tsenev V., Ivanova M., Statistical and Machine Learning Approach for Evaluation of Control Systems for an Automatic Production Line, Bulletin of Electrical Engineering and Informatics, 11(5), 2527–2536, ISSN: 20893191, DOI: 10.11591/eei.v11i5.3664.

  • Scopus SJR:0.357; Q3

• Ivanova M., Tchobanova Z., The Influence of Regression Kernel Functions at Predictive Modelling in Electronics, In:  Milić M. (Ed.), Proceedings of the 9th Small Systems Simulation Symposium SSSS 2022, 28 February-02 March 2022, Nis, Serbia, 72-76, ISBN 978-86-6125-248-8,URL: http://leda.elfak.ni.ac.rs/Proceedings%20of%20the%209th%20Small%20Systems%20Simulation%20Symposium%202022.pdf

• Lu Z., Ilieva R., Ivanova M., Interactive Interface Module for Cerebral Palsy Rehabilitation: Study on the Performance through Machine Learning, Международна конференция Статистиката и машинното обучение в електрониката, 12-13 май, 2022, София, България, In: Marinov M., Hensel S., Ivanova M. (Eds.), Complex Control Systems 4(1), 2022, 36-40, ISSN: 2603-4697 (Online), URL: http://ir.bas.bg/ccs/2022/8_lu.pdf

• Нensel S., Marinov M. B., Obert M. and Trendafilov D., Design and Implementation of a LIDAR Based Range Sensor System, Международна конференция Статистиката и машинното обучение в електрониката, 12-13 май, 2022, София, България, In: Marinov M., Hensel S., Ivanova M. (Eds.), Complex Control Systems 4(1), 2022, 16-21, ISSN: 2603-4697 (Online), URL: http://ir.bas.bg/ccs/2022/4_hensel.pdf

• Ivanova M., Tsenev V., Dimitrov B., Manufacturing Process Optimization Through Machine Learning and Analytical Prediction, Международна конференция Статистиката и машинното обучение в електрониката, 12-13 май, 2022, София, България, In: Marinov M., Hensel S., Ivanova M. (Eds.), Complex Control Systems, 4(1), 2022, 30-35, ISSN 2603-4697 (Online), 30-35, URL: http://ir.bas.bg/ccs/2022/7_ivanova.pdf

• Tsenev V., Videkov V., Combined Footprint – the Effect of Collecting of the Solder Material, Международна конференция Статистиката и машинното обучение в електрониката, 12-13 май, 2022, София, България, In: Marinov M., Hensel S., Ivanova M. (Eds.), Complex Control Systems 4(1), 2022, 26-29, ISSN 2603-4697 (Online), URL: http://ir.bas.bg/ccs/2022/6_tsenev.pdf

• Petkova P., Petkova M., Vendors’ Quality Management Assurance in Automotive electronic products, Международна конференция Статистиката и машинното обучение в електрониката, 12-13 май, 2022, София, България, In: Marinov M., Hensel S., Ivanova M. (Eds.), Complex Control Systems, 4(1), 2022, ISSN 2603-4697 (Online), URL: http://ir.bas.bg/ccs/2022/10_petkova.pdf.

Second project stage

1. M. Ivanova, A. Rozeva, S. Stoyanov, Ensemble Machine Learning Algorithms for Analysis of Noise Characteristics in Electronic Circuits, 48th International Conference Applications of Mathematics in Engineering and Economics (AMEE’22), AIP Conference Proceedings, 030005-1-030005-7, 2023. https://doi.org/10.1063/5.0178663.

Scopus and Web of Science, SJR 2022: 0.16

2. Lu Z., Ilieva R. and Ivanova M., Machine Learning for Performance Management of Robot-Assisted Cerebral Palsy Training System, 48th International Conference Applications of Mathematics in Engineering and Economics (AMEE’22), AIP Conference Proceedings, 030005-1-030005-7, 2023. DOI: 10.1063/5.0178666.

Scopus and Web of Science, SJR 2022: 0.16

3. Nguyen C. T., Khlynov R. D., Ryzhova V. A., Gorbachev A. A., Yaryshev S. N., Konyakhin I. A.,Djamiykov T. S. and Marinov B. M., Calibration Methods of a Portable Polarizing System for Monitoring Optically Inhomogeneous Medium, Computation, 2022, 10(8):131, https://doi.org/10.3390/computation10080131.

Scopus, IF 2.2, Q2

4. Ivanova M., Stošović A. M., Machine Learning and Rules Induction in Support of Analog Amplifier Design, Computation, 2022, 10(9): 145, https://doi.org/10.3390/computation10090145.

Scopus, IF 2.2, Q2 

5. Hensel S, B. Marinov M, Obert M. 3D LiDAR Based SLAM System Evaluation with Low-Cost Real-Time Kinematics GPS Solution. Computation. 2022; 10(9):154. https://doi.org/10.3390/computation10090154. 

Scopus, IF 2.2, Q2 

6. Stošović MA, Radivojević N, Ivanova M., Electricity Consumption Prediction in an Electronic System Using Artificial Neural Networks. Electronics, 2022; 11(21):3506. https://doi.org/10.3390/electronics11213506.

   1. Scopus, IF 2.69, Q2

7. V. Tsenev, N. Peshev and V. Videkov, Stabilizing the Strength of Solders in LGA Electronic Assembly by Different Design of Pads and Using of Statistical Evaluation Methods, 2022 XXXI International Scientific Conference Electronics (ET), 2022, pp. 1-5, doi: 10.1109/ET55967.2022.9920210.

   1. Scopus

8. V. Tsenev, Development of Lines for Production of Electromechanical Products by Evaluating their Efficiency through Statistics and in the Conditions of Lean Manufacturing, 2022 XXXI International Scientific Conference Electronics (ET), 2022, pp. 1-4, doi: 10.1109/ET55967.2022.9920332.

   1. Scopus

9. V. Tsenev, Study of the Operation of an Automatic Robotic Line for Assembly of Electromechanical Products Using Statistics and Machine Learning, 2022 International Conference on Information Technologies (InfoTech), 2022, pp. 1-4, doi: 10.1109/InfoTech55606.2022.9897112.

   1. Scopus, SJR:0.147

10. V. Tsenev, N. Peshev and V. Videkov, Improving the Tensile Strength of Solders by Stabilizing them with Coatings and Using Statistics, 2022 International Conference on Information Technologies (InfoTech), 2022, pp. 1-4, doi: 10.1109/InfoTech55606.2022.9897106.

    1. Scopus, SJR: o.147

11. M. Ivanova, A. Rozeva, A. Ninov, M. A.  Stosovic, Reinforcement Learning at Design of Electronic Circuits: Review and Analysis, AICCC’22: Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference, 275–284, 2022. https://doi.org/10.1145/3582099.3582140.

Scopus, SJR 2022: 0.21 

12. M. Ivanova, M. Durcheva, M-Polar Fuzzy Graphs and Deep Learning for the Design of Analog Amplifiers. Mathematics. 2023; 11(4):1001. https://doi.org/10.3390/math11041001.

Scopus, IF 2.592, Q1

13. M. Ivanova, An Application of Fuzzy Competition Graphs at Analog Circuits Analysis, 3rd IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0 / 5.0 (ARCI’ 2023), Chamonix-Mont-Blanc, France, Sergey Y. Yurish (Ed.), Automation, Robotics & Communications for Industry, 122-126, 2023. ISBN: 978-84-09-47563-6, doi: http://dx.doi.org/10.13140/RG.2.2.17831.93608.

Scopus

14. M. Ivanova, Deep Learning at Behavioral Analysis of Analog Amplifiers with Negative Feedback, In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 696. Springer, Singapore. https://doi.org/10.1007/978-981-99-3236-8_68. 

Scopus, SJR 2022: 0.151, Q4

15. S. Hensel, M. Marinov, J. Fischer, Optimization of Bowl Feeders Structure for Arbitrary Parts with Machine Learning, 8th International Conference on Smart and Sustainable Technologies, International Symposium on Statistics and Machine Learning in Electronics, Split - Bol, June 20-23, 2023, pp. 1-4, doi: 10.23919/SpliTech58164.2023.10193444.  

Scopus

16. N. Peshev, V. Tsenev, Investigation of Different Hot Bar Soldering Modes for Obtaining Strong Solders by Statistical Methods, 8th International Conference on Smart and Sustainable Technologies, International Symposium on Statistics and Machine Learning in Electronics, Split - Bol, June 20-23, 2023, pp. 1-5, doi: 10.23919/SpliTech58164.2023.10193502. 

Scopus

17. P. Petkova, M. Petkova, B. Jekov, E. Kovatcheva, Literature review of key performance indicators for Supplier Quality Management in Automotive Electronics Industry, 8th International Conference on Smart and Sustainable Technologies, International Symposium on Statistics and Machine Learning in Electronics, Split - Bol, June 20-23, 2023, pp. 1-5, doi: 10.23919/SpliTech58164.2023.10192584. 

Scopus

18.  M. Ivanova, N. Petkov, R. Ilieva, Methods for Analysis of Manufacturing Process in Electronics, 8th International Conference on Smart and Sustainable Technologies, International Symposium on Statistics and Machine Learning in Electronics, Split - Bol, June 20-23, 2023, pp. 1-4, doi: 10.23919/SpliTech58164.2023.10193090. 

Scopus

19. R. Markov, G. Bogdanova, M. Ivanova, Creating and storing 7D digital twins, 8th International Conference on Smart and Sustainable Technologies, International Symposium on Statistics and Machine Learning in Electronics, Split - Bol, June 20-23, 2023,  pp. 1-5, doi: 10.23919/SpliTech58164.2023.10193580. 

Scopus

20. S. Hensel, M. B. Marinov, A. Dreher, D. Trendafilov, Monocular Depth Estimation for Autonomous UAVs Navigation Based on Deep Learning, Proc. XXXII International Scientific Conference Electronics - ET2023, September 13 - 15, 2023, Sozopol, Bulgaria (accepted)

Scopus

21. R. Rusev, V. Tsenev, M. Slavchev, Sustainable low-temperature stress soldering of specialized electronic components and process optimization through statistical analysis and machine learning, International Conference on Information Technologies, 20-21 September 2023  (accepted)

Scopus, SJR: 0.147

22. V. Tsenev, R. Rusev, V. Videkov, M. Slavchev, Statistical analysis of the influence of the amount of bismuth in a combined solder paste footprint on the content of voids in the solder, International Conference on Information Technologies, 20-21 September 2023 (accepted)

Scopus, SJR: 0.147

23. M. Ivanova, V. Tsenev, V. Mikova, An Approach for Evaluation of a Measurement System: A Study on the Use of Machine Learning and Predictions, Engineering, Technology & Applied Science Research, 13(6), 12342-12347, 2023. https://doi.org/10.48084/etasr.6450.

Scopus, IF 1.5, Q2

24. A. P. Aravena-Cifuentes, J. D. Nuñez-Gonzalez, A. Elola, M. Ivanova, Development of AI-based tools for power generation prediction, Computation. 2023; 11(11):232. https://doi.org/10.3390/computation11110232.

Scopus, IF 2.2, Q2

25. N. Petkov, M. Ivanova, Printed Circuit Board and Printed Circuit Board Assembly Methods for Testing and Visual Inspection: A Review, Bulletin of Electrical Engineering and Informatics. (accepted)

Scopus, SJR: 0.299, Q3

26. Hensel S, Marinov MB, Panter R. Design and Implementation of a Camera-Based Tracking System for MAV Using Deep Learning Algorithms. Computation. 2023; 11(12):244. https://doi.org/10.3390/computation11120244.

Scopus, IF 2.2, Q2

27. M. Marinov et al., Design and implementation of a sensor system for measurement of indoor PM concentration, FDIBA 2023, Sofia, Bulgaria (accepted)