Results 21 to 30 of about 2,289,473 (322)

Recreational vessels without Automatic Identification System (AIS) dominate anthropogenic noise contributions to a shallow water soundscape. [PDF]

open access: yesSci Rep, 2019
Recreational boating is an increasing activity in coastal areas and its spatiotemporal overlap with key habitats of marine species pose a risk for negative noise impacts.
Hermannsen L   +5 more
europepmc   +2 more sources

Application of Artificial Intelligence Automatic Diatom Identification System in Practical Cases [PDF]

open access: yesFayixue Zazhi, 2020
Objective To discuss the application of artificial intelligence automatic diatom identification system in practical cases, to provide reference for quantitative diatom analysis using the system and to validate the deep learning model incorporated into ...
ZHOU Yuan-yuan, CAO Yong-jie, YANG Yue, et al
doaj   +1 more source

GPS Synchronization of Audio Watermarks in the Maritime Automatically Identified Radiotelephony [PDF]

open access: yesTransNav, 2021
Audio watermarking (AW) technology in cooperation with GPS synchronization of watermarked frames is proposed for application in the maritime VHF communication for automatic identification of radiotelephone messages.
Aleksandr Shishkin   +2 more
doaj   +1 more source

Oil Spill Environmental Risk Assessment and Mapping in Coastal China Using Automatic Identification System (AIS) Data

open access: yesSustainability, 2022
The rapid expansion in shipping traffic, oil tankers, and oil field exploration in coastal and marine areas has, inevitably, resulted in the occurrence of many oil spill accidents.
Gao-ru Zhu   +6 more
semanticscholar   +1 more source

Online Prediction of Ship Behavior with Automatic Identification System Sensor Data Using Bidirectional Long Short-Term Memory Recurrent Neural Network. [PDF]

open access: yesSensors (Basel), 2018
The real-time prediction of ship behavior plays an important role in navigation and intelligent collision avoidance systems. This study developed an online real-time ship behavior prediction model by constructing a bidirectional long short-term memory ...
Gao M, Shi G, Li S.
europepmc   +2 more sources

Automatic Identification System (AIS) Data Supported Ship Trajectory Prediction and Analysis via a Deep Learning Model

open access: yesJournal of Marine Science and Engineering, 2022
Automatic Identification System (AIS) data-supported ship trajectory analysis consistently helps maritime regulations and practitioners make reasonable traffic controlling and management decisions.
Xinqiang Chen   +5 more
semanticscholar   +1 more source

Ship Classification in Synthetic Aperture Radar Images Based on Multiple Classifiers Ensemble Learning and Automatic Identification System Data Transfer Learning

open access: yesRemote Sensing, 2022
With the continuous development of earth observation technology, space-based synthetic aperture radar (SAR) has become an important source of information for maritime surveillance, and ship classification in SAR images has also become a hot research ...
Zhenguo Yan   +3 more
semanticscholar   +1 more source

Extracting Global Shipping Networks from Massive Historical Automatic Identification System Sensor Data: A Bottom-Up Approach. [PDF]

open access: yesSensors (Basel), 2019
The increasing availability of big Automatic Identification Systems (AIS) sensor data offers great opportunities to track ship activities and mine spatial-temporal patterns of ship traffic worldwide.
Wang Z, Claramunt C, Wang Y.
europepmc   +2 more sources

Real-Time Management of Vessel Carbon Dioxide Emissions Based on Automatic Identification System Database Using Deep Learning

open access: yesJournal of Marine Science and Engineering, 2021
In this study, we propose an effective method using deep learning to strengthen real-time vessel carbon dioxide emission management. We propose a method to predict real-time carbon dioxide emissions of the vessel in three steps: (1) convert the ...
Yongpeng Wang   +3 more
semanticscholar   +1 more source

AUGMENTING THE PHILIPPINES’ DOST-ASTI’S POTENTIAL FLOOD EXTENTS MAPPING SERVICE WITH S-BAND NOVASAR-1 IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Philippines’ Advanced Science and Technology Institute under the Department of Science and Technology (DOST-ASTI) has developed an AI-based and near real-time flood extent mapping service that utilizes C-Band Sentinel-1 SAR images.
J. B. L. C. Dumalag   +13 more
doaj   +1 more source

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