This article delves into the critical integration of domain knowledge into AI/ML systems across various industries, highlighting its importance in developing ethically responsible, effective, and contextually relevant solutions. Through detailed case studies from the healthcare and manufacturing sectors, we explore the challenges, strategies, and successes of this integration. We discuss the evolving role of domain experts and the emerging tools and technologies that facilitate the incorporation of human expertise into AI/ML models. The article forecasts future trends, predicting a more seamless and strategic collaboration between AI/ML and domain expertise. It emphasizes the necessity of this synergy for fostering innovation, ensuring ethical practices, and aligning technological advancements with human values and real-world complexities.

This review article explores the applications and impacts of Machine Learning (ML) techniques in marine traffic management and prediction within complex maritime systems. It provides an overview of ML techniques, delves into their practical applications in the maritime sector, and presents an in-depth analysis of their benefits and limitations. Real-world case studies are highlighted to illustrate the transformational impact of ML in this field. The article further provides a comparative analysis of different ML techniques and discusses the future directions and opportunities that lie ahead. Despite the challenges, ML’s potential to revolutionize marine traffic management and prediction, driving safer, more efficient, and more sustainable operations, is substantial. This review article serves as a comprehensive resource for researchers, industry professionals, and policymakers interested in the interplay between ML and maritime systems.

This article presents the issues related to the operation and modelling of a ship’s main propulsion steam boiler. Such objects are used widely in seagoing ships, especially very large crude oil carriers, as a main propulsion turbine feed. The advantages, along with the simple construction, thus greatly improve reliability making oil feed boilers an excellent source of power for the chosen types of large ships. It is worth mentioning that a vast part of the research work was performed in previous years regarding automatic control of boiler automation, but, since then, this technology has not been the focus of the researchers. Due to the fact that there is little information available on algorithms for controlling ship boilers, in the presented article, the authors created a unique solution for the control system of a propulsion boiler. The proposed control algorithm takes into account the operating parameters of the ship and allows for quick implementation in a simulation system working in a hardware loop, which can be used for quick testing of solutions for boiler systems fed with alternative fuels. In the future, fossil fuels will become less important than they are now, but the control techniques of boilers will eventually change due to different fuel parameters and, therefore, the development of such boilers is necessary. This article presents the results of research collected in real ship boilers during their operation and, based on the results, a digital model of such an object along with the necessary controls was created. This model was implemented into Hardware-In-Loop, which is the initial step for preparing the full model (including sensors, etc.) of a steam-heated boiler. The theoretical background, along with the chosen simulation and experimental results of control implemented into HIL, are presented to validate assumptions.

The article presents the issues related to the operation and modelling of the ship main propulsion steam boiler. Such objects are used widely in seagoing ships especially the very large crude oil carriers as a main propulsion turbine feed. The advantages of such along with simple construction thus great reliability make oil feed boilers an excellent source of power for chosen type of the large ships. It must be pointed out that a lot of research work was done in the previous years regarding automatic control of boiler automation but since then this technology was not in the focus of the researchers. In the future the fossil fuels will become less important than they are now, but the control techniques of boilers would eventually change due to different fuel parameters therefore, development of such is necessary. The article presents the results of research collected in real ship boilers during their operation and then, based on the results, a digital model of such an object was created. This model was implemented into Hardware-In-Loop which is the initial step for preparing the full model (including sensors etc.) of a steam heated boiler. Theoretical background along with chosen simulation and experimental results of control implemented into HIL were presented to validate assumptions...

This paper discusses the construction and operating principle of an axial flux electric machine with hybrid excitation. Based on computer simulations using the Finite Element Method, an analysis was conducted with changes in the geometry of the magnetic circuit, which involves the rotation of the rotor disks relative to each other on the operating parameters of the machine. Both the generator state of operation, in the meaning of analyzing the induced voltage (adjustment at −11% ÷ +64%) and the cogging torque, and the motor state of operation, in the meaning of analyzing the ripple of the electromagnetic torque (possible reduction by almost 30%), were examined. The article concludes with observations on how the change in the angle of the rotor disks affects the efficiency of the disk machine with axial flux and hybrid excitation.