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]

open access: yes, 2019
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

open access: yes, 2023
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]

open access: yesBIO Web of Conferences
Microplastics are micro particles
Irawan Nina   +4 more
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Towards new technology : computerization for maritime education and training at the Philippine Merchant Marine Academy

open access: yes, 1995
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]

open access: yesBIO Web of Conferences
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

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Proposal for the establishment of a maritime training centre (MTC) for the training of ratings in Sierra Leone

open access: yes, 1988
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  

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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