One of the biggest problems the maritime industry is currently experiencing is corrosion, resulting in short and long-term damages. Early prediction and proper corrosion monitoring can reduce economic losses. Traditional approaches used in corrosion prediction and detection are time-consuming and challenging to execute in inaccessible areas. Due to these reasons, artificial intelligence-based algorithms have become the most popular tools for researchers. This study discusses state-of-the-art artificial intelligence (AI) methods for marine-related corrosion prediction and detection: (1) predictive maintenance approaches and (2) computer vision and image processing approaches. Furthermore, a brief description of AI is described. The outcomes of this review will bring forward new knowledge about AI and the development of prediction models which can avoid unexpected failures during corrosion detection and maintenance. Moreover, it will expand the understanding of computer vision and image processing approaches for accurately detecting corrosion in images and videos.

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The increase in awareness and responsibilities among stakeholders in a port environment has made safety evaluation an operational priority. Operating a port is a high-risk activity with underlying potential for accidents and loss of lives, besides causing massive property and environmental damage. Kemaman Port has multiple operations and handles volatile chemicals that may lead to disaster if an accident were to occur due to negligence. Therefore, the safety tools at the port have to suit a terminal specialized in handling liquid chemicals. To determine risk level at the port, assessment may be conducted using the hazard identification method (HAZID) to determine the hazards and risk matrix. The “As low as reasonably practicable” (ALARP) principle should be adhered to in determining which risk is tolerable or intolerable. In this study, the hazard and risk data at Kemaman Port were obtained through literature review and engagements with experts. As a result, eight main hazards were identified and the risk matrix was used to find the highest frequency and consequences of the hazards, besides the risk probability during operations. The overall results may demonstrate a significant improvement to the safety of port operations.

When working in the maritime industry, employees frequently face various stressors (or stress factors) connected to their many responsibilities on board the ship. The primary contributing causes of seafarers on ships are examined in this study. This study investigates the stressors such as physical, psychosocial, social, and high work demand factors to determine which stressors contribute the most to the seafarers on board the ship and identify stress levels between the deck and engine departments. This is done by collecting data on seafarers' stress based on a questionnaire prepared in the Likert scale method and analyzing the data using the SPSS method and the T-test method. In conclusion, in this study, a proper recommendation is given to the seafarers to manage and handle their work-related stress on board the ship as it affects the performance of the seafarers during their duties on the vessel. With the results of this research, proper recommendations can be proposed to reduce the stress based on the stressors that contribute the most to the seafarers to ensure a safe working environment is created on board the ship.

Nowadays, there were many studies had been conducted to help improve students’ performance in academics. Either it was tested practically or scientifically, both had been implemented. Students learn in many ways. Until now, there had no ultimate teaching styles to ensure students’ performance in academics while maintaining their motivation to study. This is because each student differs from each other in their natural ways to learn. They could just adopt the best that suits them and their needs. The study was conducted at the University Malaysia Terengganu (UMT), among Nautical Science and Maritime Transportation students. In this study, research on improving student performances in Maritime English subject had been conducted. The current system of learning and teaching process of Maritime English at UMT was determined in this research and in order to evaluate the current proficiency in Maritime English, the content analysis had been used to analyze their final examination paper. Besides, the interview sessions were conducted with the selected expert to get a recommendation on how to improve the performance of students in Maritime English subject. The subjects were among the first year students in the Bachelor of Nautical Science and Maritime Transportation programme. At the end of the research, this paper gives a recommendation on how to improve performance in the learning and teaching process of Maritime English course for students at maritime universities around the world.