Results 101 to 110 of about 15,950 (313)
Rethinking Maritime Education, Training, and Operations in the Digital Era: Applications for Emerging Immersive Technologies [PDF]
The use of simulators in maritime education and training is an essential component for developing seafarer competencies. Emerging immersive technologies, such as virtual reality (VR), augmented reality (AR) and mixed reality (MR) have created new and ...
Mallam, Steven +5 more
core +1 more source
Training of Employees in a Maritime Company Brodospas
Training is a tool of management to ensure and develop high-quality employees. Those who have developed, initiated, and continuously invested in the training and education process have an advantage in the human resources field, ensuring quality employees who can perform work according to predetermined standards.
Vukić, Luka +2 more
openaire +3 more sources
The Role Of Bacteria In Microplastic Bioremediation And Implications For Marine Ecosystems [PDF]
Microplastics are micro particles
Irawan Nina +4 more
doaj +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
The key to success of any maritime education and training programs in achieving its goals and objectives will depend upon how well various new technology is being used toward the learning process by every educator.
Abella, Ronaldo Ramirez
core
Survival strategies of marine mammals in extreme environments: A study of whales and seals [PDF]
Extreme environments, characterized by challenges such as sub-zero temperatures, limited sunlight and scarce resources, pose great challenges to organisms, including marine mammals.
Aulia Chairunnisa +3 more
doaj +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
This paper is specifically directed towards the establishment of a Maritime Training Centre in Sierra Leone for the training of ratings and port marine and engineering personnel in accordance with the International Convention on Standards of Training ...
Bloomer, Hubert A.
core
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source

