AIMC Topic: Ships

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Deep-Learning-Based detection of recreational vessels in an estuarine soundscape in the May River, South Carolina, USA.

PloS one Jul 8, 2024
This paper presents a deep-learning-based method to detect recreational vessels. The method takes advantage of existing underwater acoustic measurements from an Estuarine Soundscape Observatory Network based in the estuaries of South Carolina (SC), U...
Ships Sound Acoustics South Carolina Recreation Estuaries Rivers Deep Learning Humans
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Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.

Frontiers in public health Jun 27, 2024
INTRODUCTION: Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic ...
Machine Learning Forecasting Humans Ships Bayes Theorem Models, Statistical China Emergency Medical Services
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Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism.

PloS one Feb 24, 2023
Marine ships are the transport vehicle in the ocean and instance segmentation of marine ships is an accurate and efficient analysis approach to achieve a quantitative understanding of marine ships, for example, their relative locations to other ships...
Image Processing, Computer-Assisted Ships Algorithms Semantics Neural Networks, Computer
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Sea Mine Detection Framework Using YOLO, SSD and EfficientDet Deep Learning Models.

Sensors (Basel, Switzerland) Dec 6, 2022
In the context of new geopolitical tensions due to the current armed conflicts, safety in terms of navigation has been threatened due to the large number of sea mines placed, in particular, within the sea conflict areas. Additionally, since a large n...
Ships Romania Algorithms Deep Learning
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Real-Time Ship Segmentation in Maritime Surveillance Videos Using Automatically Annotated Synthetic Datasets.

Sensors (Basel, Switzerland) Oct 22, 2022
This work proposes a new system capable of real-time ship instance segmentation during maritime surveillance missions by unmanned aerial vehicles using an onboard standard RGB camera. The implementation requires two stages: an instance segmentation n...
Ships Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Intelligent Smart Marine Autonomous Surface Ship Decision System Based on Improved PPO Algorithm.

Sensors (Basel, Switzerland) Jul 31, 2022
With the development of artificial intelligence technology, the behavior decision-making of an intelligent smart marine autonomous surface ship (SMASS) has become particularly important. This research proposed local path planning and a behavior decis...
Ships Policy Artificial Intelligence Humans Neural Networks, Computer Algorithms
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Fall Detection for Shipboard Seafarers Based on Optimized BlazePose and LSTM.

Sensors (Basel, Switzerland) Jul 21, 2022
Aiming to avoid personal injury caused by the failure of timely medical assistance following a fall by seafarer members working on ships, research on the detection of seafarer's falls and timely warnings to safety officers can reduce the loss and sev...
Algorithms Neural Networks, Computer Ships Image Processing, Computer-Assisted Humans
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Short-Term Drift Prediction of Multi-Functional Buoys in Inland Rivers Based on Deep Learning.

Sensors (Basel, Switzerland) Jul 7, 2022
The multi-functional buoy is an important facility for assisting the navigation of inland waterway ships. Therefore, real-time tracking of its position is an essential process to ensure the safety of ship navigation. Aiming at the problem of the low ...
Rivers China Ships Deep Learning
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Application of Convolutional Neural Network (CNN) to Recognize Ship Structures.

Sensors (Basel, Switzerland) May 18, 2022
The purpose of this paper is to study the recognition of ships and their structures to improve the safety of drone operations engaged in shore-to-ship drone delivery service. This study has developed a system that can distinguish between ships and th...
Neural Networks, Computer Republic of Korea Ships
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A deep learning based method for intelligent detection of seafarers' mental health condition.

Scientific reports May 12, 2022
Mental health monitoring of seafarers is an important part of achieving normal development of the ocean shipping industry. In this paper, a dual subjective-objective testing scheme is proposed to achieve a more effective and intelligent assessment of...
Deep Learning Humans Mental Health Reproducibility of Results Ships Mental Disorders
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