2025
Ewald, D. The Proposal of a Fully Quantum Neural Network and Fidelity-Driven Training Using Directional Gradients for Multi-Class Classification. Electronics 2025, 14, 2189. https://doi.org/10.3390/electronics14112189 Download: pdf
Ewald, D. Application of Quantum Computers and Their Unique Properties for Constrained Optimization in Engineering Problems: Welded Beam Design. Electronics 2025, 14, 1027. https://doi.org/10.3390/electronics14051027 Download: pdf
2024
Zarzycki, H.; Ewald, D.; Prokopowicz, P. Leveraging Swarm Intelligence for Optimal Thermal Camera and Sensor Placement in Industrial Environments. Electronics 2024, 13, 601. https://doi.org/10.3390/electronics13030601
Czerniak, J.M.; Ewald, D.; Paprzycki, M.; Fidanova, S.; Ganzha, M. A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions. Electronics 2024, 13, 1372. https://doi.org/10.3390/electronics13071372
Czerniak J.M., Dobrosielski W., Ewald D., Kołpacki R., Worona A. Akademicki odbiornik AIS – zastosowanie metod sztucznej inteligencji w celu poprawy bezpieczeństwa morskich rejsów niekomercyjnych, Studia i Materiały Informatyki Stosowanej, vol. 16, no. 1, 2024, pp. 33–39.
2023
Ewald D., Dobrosielski W.T., Czerniak J.M., Zarzycki H., Ganzha M., Maciaszek L., Paprzycki M., Ślęzak D. Comparative Study: Defuzzification Functions and Their Effect on the Performance of the OFNbee Optimization Algorithm, FedCSIS (Communication Papers), 2023, pp. 91–96. http://dx.doi.org/10.15439/2023F5828
Ewald, D., Nowosad, I., & Kiedrowski, P. (2023). WPŁYW OPERATORÓW ROZMYWANIA NA WYDAJNOŚĆ ALGORYTMU OPTYMALIZACJI OFNBEE. Fides, Ratio Et Patria. Studia Toruńskie, (19), 254–271. https://doi.org/10.56583/frp.2558
Apiecionek Ł., Moś R., Ewald D. Fuzzy Neural Network with Ordered Fuzzy Numbers for Life Quality Technologies, Applied Sciences, vol. 13, no. 6, 2023, pp. 3487.
2022
Blechman Ł., Ewald D. Method for Multiplication Transmission Interfaces, Springer Nature, vol. 338, 2022, pp. 270.
Blechman Ł., Ewald D. A Hybrid System for Intelligent Waste Measurement, Springer Nature, vol. 338, 2022, pp. 259.
Ewald D., Czerniak J.M., Baumgart J., Zarzycki H. Review of Fuzzification Functionals Dedicated to OFN, Springer Nature Switzerland Cham, 2022, pp. 49–66.
Zarzycki H., Apiecionek Ł., Ewald D., Czerniak J. Optimizing the Operation of a Wireless Sensor Network Using a Swarm Intelligence Algorithm, Springer Nature Switzerland Cham, 2022, pp. 335–342.
Apiecionek Ł., Ewald D., Czerniak J.M., Baumgart J. Fuzzy Mechanism for Data Transmission Adaptation, Springer Nature Switzerland Cham, 2022, pp. 283–295.
2021
Zarzycki H., Apiecionek Ł., Czerniak J.M., Ewald D. The Proposal of Fuzzy Observation and Detection of Massive Data DDOS Attack Threat, Springer International Publishing, 2021, pp. 363–378.
Czerniak J.M., Zarzycki H., Ewald D., Augustyn P. Application of OFN Numbers in the Artificial Duroc Pigs Optimization (ADPO) Method, Springer International Publishing, 2021, pp. 310–327.
Czerniak J.M., Ewald D., Zarzycki H., Augustyn P. Application of the New FAAO Metaheuristics in Modeling and Simulation of the Search for the Optimum of a Function with Many Extremes, Springer International Publishing, 2021, pp. 301–309.
Czerniak J.M., Ewald D., Apiecionek Ł., Kruszyński H., Palka R. Laboratory Prototype of Hybrid Systems for Waste Weighing as a New Benchmark for Optimizing Metaheuristics, Springer International Publishing, 2021, pp. 328–338.
Apiecionek Ł., Dobrosielski W.T., Ewald D. Ordered Fuzzy Numbers for IoT Smart, Springer Nature, vol. 1308, 2021, pp. 302.
2020
Apiecionek Ł., Czerniak J.M., Romantowski M., Ewald D., Tsizh B., Zarzycki H., Dobrosielski W.T. Authentication over Internet Protocol, Bulletin of the Polish Academy of Sciences. Technical Sciences, vol. 68, no. 2, 2020.
Apiecionek Ł., Czerniak J.M., Ewald D., Biedziak M. IoT Heating Solution for Smart Home with Fuzzy Control, Journal of Universal Computer Science, no. 6, 2020, pp. 747–762.
Ewald D., Zarzycki H., Apiecionek Ł., Czerniak J.M. Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems, J. Univers. Comput. Sci., vol. 26, no. 11, 2020, pp. 1475–1494.
Ewald D., Czerniak J.M., Paprzycki M. OFNBee Method Applied for Solution of Problems with Multiple Extremes, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 93–111.
Zarzycki H., Dobrosielski W.T., Czerniak J.M., Ewald D. Use of OFN in the Short-Term Prediction of Exchange Rates, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 289–301.
Apiecionek Ł., Dobrosielski W.T., Ewald D. Ordered Fuzzy Numbers for IoT Smart Home Solution, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 302–310.
Apiecionek Ł., Palka R., Biedziak M., Tomczak M., Blechman Ł., Ewald D. A Hybrid System for Intelligent Waste Measurement, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 259–269.
Ewald D., Zarzycki H., Czerniak J.M. Certain Aspects of the OFNBee Algorithm Operation for Different Fuzzifiers, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 241–256.
Zarzycki H., Ewald D., Skubisz O., Kardasz P. A Comparative Study of Two Nature-Inspired Algorithms for Routing Optimization, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 215–228.
Apiecionek Ł., Palka R., Biedziak M., Tomczak M., Blechman Ł., Ewald D. Method for Multiplication Transmission Interfaces, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2020, pp. 270–279.
2019 i starsze
Ewald D., Czerniak J.M., Paprzycki M. OFNBee method used for solving a set of benchmarks, Advances in Fuzzy Logic and Technology 2017, Springer, 2018, pp. 24–35.
Apiecionek Ł., Czerniak J.M., Dobrosielski W., Ewald D. Fuzzy Logic Load Balancing for Cloud Architecture Network – A Simulation Test, Advances in Fuzzy Logic and Technology 2017, Springer, 2018, pp. 43–54.
Czerniak J.M., Filipowicz I., Ewald D. The novel shape normalization operator for fuzzy numbers in OFN notation, Advances in Fuzzy Logic and Technology 2017, Springer, 2018, pp. 548–562.
Apiecionek Ł., Czerniak J.M., Dobrosielski W.T., Ewald D. New proposal of fuzzy observation of DDoS attack, Uncertainty and Imprecision in Decision Making and Decision Support, Springer, 2018, pp. 240–250.
Zarzycki H., Dobrosielski W.T., Ewald D., Apiecionek Ł. Effective Search of Proteins in the DNA Code, Uncertainty and Imprecision in Decision Making and Decision Support, Springer, 2018, pp. 273–285.
Apiecionek Ł., Zarzycki H., Czerniak J.M., Dobrosielski W.T., Ewald D. The cellular automata theory with fuzzy numbers in simulation of real fires in buildings, Uncertainty and Imprecision in Decision Making and Decision Support, Springer, 2018, pp. 169–182.
Dobrosielski W.T., Ewald D. The Cellular Automata Theory with Fuzzy Numbers in Simulation of Real Fires, Uncertainty and Imprecision in Decision Making and Decision Support, Springer, vol. 559, 2017, pp. 169.
Czerniak J.M., Dobrosielski W.T., Ewald D. New Proposal of Fuzzy Observation of DDoS, Uncertainty and Imprecision in Decision Making and Decision Support, Springer, vol. 559, 2017, pp. 240.
Ewald D., Czerniak J.M., Paprzycki M. A new OFNBee method as an example of fuzzy observance applied for ABC optimization, Theory and Applications of Ordered Fuzzy Numbers, Springer, 2017, pp. 223–237.
Czerniak J.M., Zarzycki H., Ewald D. AAO as a new strategy in modeling and simulation of constructional problems optimization, Simulation Modelling Practice and Theory, vol. 76, 2017, pp. 22–33.
Apiecionek Ł., Czerniak J.M., Ewald D. NEW QoS CONCEPT for protecting network resources, Image Processing and Communications Challenges 8, Springer, 2017, pp. 234–239.
Czerniak J.M., Dobrosielski W.T., Apiecionek Ł., Ewald D., Paprzycki M. Practical application of OFN arithmetics in a crisis control center monitoring, Recent Advances in Computational Optimization, Springer, 2016, pp. 51–64.
Czerniak J.M., Ewald D., Śmigielski G., Dobrosielski W.T., Apiecionek Ł. Optimization of fuel consumption in firefighting water capsule flights of a helicopter, Recent Advances in Computational Optimization, Springer, 2016, pp. 39–49.
Czerniak J.M., Ewald D. A new MGlaber approach as an example of novel artificial Acari optimization, International Conference: Beyond Databases, Architectures and Structures, Springer, 2015, pp. 545–557.
Czerniak J.M., Śmigielski G., Ewald D., Paprzycki M., Dobrosielski W. New proposed implementation of ABC method to optimization of water capsule flight, FedCSIS, IEEE, 2015, pp. 489–493.
Czerniak J.M., Dobrosielski W.T., Apiecionek Ł., Ewald D. Representation of a trend in OFN during fuzzy observance of the water level from the crisis control center, FedCSIS, IEEE, 2015, pp. 443–447.
Czerniak J.M., Apiecionek Ł., Zarzycki H., Ewald D. Proposed CAEVA simulation method for evacuation of people from a building on fire, Advances in Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2016, pp. 315–326.
Czerniak J.M., Macko M., Ewald D. The CutMAG as a new hybrid method for multi-edge grinder design optimisation, Advances in Intuitionistic Fuzzy Sets and Generalized Nets, Springer, 2016, pp. 327–337.
Czerniak J.M., Ewald D., Macko M., Śmigielski G., Tyszczuk K. Approach to the monitoring of energy consumption in eco-grinder based on ABC optimization, BDAS 2015, Springer, 2015, pp. 516–529.
Ewald D., Czerniak J.M., Zarzycki H. Approach to solve a criteria problem of the ABC algorithm used to the WBDP multicriteria optimization, Intelligent Systems 2014, Springer, 2015, pp. 129–137.
Ewald D. Welded Beam Design Problem – The Use of the Bees Algorithm, XV International PhD Workshop OWD 2013, Politechnika Śląska, 2013, pp. 48–51.
Ewald D. Zastosowanie sztucznych sieci neuronowych do rozpoznawania metali na podstawie wykresu statycznej próby rozciągania, Studia i Materiały Informatyki Stosowanej, 2010, pp. 21–30.