Sensitivity of computer support game algorithms of safe ship control. - Józef Lisowski (Int. J. Appl. Math. Comput. Sci., 2013)

Computational Intelligence Methods of a Safe Ship Control. - Józef Lisowski (KES, 2014)

Multi-stage safe ship control with neural state constraints. - Józef Lisowski (CYBCONF, 2015)

Comparison of Computational Intelligence Methods Based on Fuzzy Sets and Game Theory in the Synthesis of Safe Ship Control Based on Information from a Radar ARPA System. - Józef Lisowski; Mostefa Mohamed-Seghir (Remote. Sens., 2019)

Sensitivity of Safe Trajectory in a Game Environment on Inaccuracy of Radar Data in Autonomous Navigation. - Józef Lisowski (Sensors, 2019)

Multistage Dynamic Optimization with Different Forms of Neural-State Constraints to Avoid Many Object Collisions Based on Radar Remote Sensing. - Józef Lisowski (Remote. Sens., 2020)

Game Control Methods Comparison when Avoiding Collisions with Multiple Objects Using Radar Remote Sensing. - Józef Lisowski (Remote. Sens., 2020)

Review of Ship Collision Avoidance Guidance Algorithms Using Remote Sensing and Game Control. - Józef Lisowski (Remote. Sens., 2022)

Quality Analysis of Small Maritime Target Detection by Means of Passive Radar Reflectors in Different Sea States. - Józef Lisowski; Andrzej Szklarski (Remote. Sens., 2022)

Artificial Intelligence Methods in Safe Ship Control Based on Marine Environment Remote Sensing. - Józef Lisowski (Remote. Sens., 2023)

Maintaining Symmetry in Optimal and Safe Control of the Ship to Avoid Collisions at Sea. - Józef Lisowski (Symmetry, 2023)

Using Game Control to Manage the Safety of Autonomous Maritime Objects. - Krystian Kozakiewicz; Agnieszka Lazarowska; Józef Lisowski; Miroslaw Lacki; Monika Rybczak; Marta Szarmach (EUROCON, 2025)

A Survey of Machine Learning Methods Applied for Enhancing the Autonomy of Unmanned Underwater Vehicles. - Krystian Kozakiewicz; Agnieszka Lazarowska; Józef Lisowski; Monika Rybczak (EUROCON, 2025)