Prediction of Added Resistance of Container Ships in Regular Head Waves Using an Artificial Neural Network by Ivana Martić, Nastia Degiuli, Carlo Giorgio Grlj

“…The data were divided into three classes based on the ship length, and the expressions for the prediction of the added resistance coefficient for each container ship class were provided. The performance and generalization properties of the neural network were evaluated based on the normalized value of the root mean square error. …”
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Avoiding sharp accelerations can mitigate the impacts of a Ferry’s radiated noise on the St. Lawrence whales by Dominic Lagrois, Clément Chion, Jean-François Sénécal, Camille Kowalski, Robert Michaud, Valeria Vergara

“…This work extends pre-existing studies to the ferry ship class. Hydrophone-based measurements of the N.M. …”
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Enhancing object detection and classification using deep learning: A novel approach with annotated dataset and YOLO-C3GTR architecture by Rana Muhammad Usman, Junhua Yan, Saqib Mehmood, Muhammad Jamil

“…In the beginning, the dataset for ship detection that was provided by Airbus was separated into five distinct categories: oil tanker, bulk carrier, container ship, sand carrier, and general ship class. Setting up this division was done with the idea of increasing the precision of the ship classification in the imagery. …”
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Operational profiling and statistical analysis of Arleigh Burke-class destroyers by Anderson, Travis J. (Travis John)

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Hydrodynamic Characteristics at Intersection Areas of Ship and Bridge Pier with Skew Bridge by Anbin Li, Genguang Zhang, Xiaoping Liu, Yuanhao Yu, Ximin Zhang, Huigang Ma, Jiaqiang Zhang

“…The width of the restricted water area, determined by the hydrodynamic action between the ship and bridge in the skew bridge area, is the same as that determined by the critical lateral velocity. For the ship class referred to in this study, the current code can also be used in channel design, to safeguard ship and personal safety with piers with a large flow angle of attack.…”
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Ship noise extends to frequencies used for echolocation by endangered killer whales by Scott Veirs, Val Veirs, Jason D. Wood

“…Median source spectrum levels peak near 50 Hz for all 12 ship classes, have a maximum of 159 dB re 1 µPa2/Hz @ 1 m for container ships, and vary between classes. …”
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Sejarah ringkas warisan perkapalan tradisional Melayu by Musa, Hashim, Che Rodi, Rozita, Noor Muhammad, Salmah Jan

“…Naturally ships plied important roles in such maritime trading atmosphere and the Malays from earlier times had been using various ship classes to fulfill those activities. In this article a description of various ships classes used by the Malay maritime traders will be discussed, namely the big ocean-going ships, the medium size ships that plied the seas and straits within the Malay Archipelago, and the smaller boats that were used along the coasts and rivers.…”
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The Use of E-Learning in Maritime English Learning Can Improve the Vocabulary Skill of Cadets Majoring in Electro-Technical Officer Shipping by Tekat Sukomardojo, Dyah Ratnaningsih

“…Originality/value: This research conducted at the ETO Shipping class in Semester II. Paper type: This paper can be categorized as a Study cases …”
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A Study on the Geometric and Kinematic Descriptors of Trajectories in the Classification of Ship Types by Yashar Tavakoli, Lourdes Peña-Castillo, Amilcar Soares

“…On the other hand, the movement characteristics of some other ship classes could not be delineated along these lines and were more complicated to express. …”
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Mathematical model and algorithm of operation scheduling for monitoring situation in local waters by Sokolov Boris, Palitsyn Vladimir, Nazarov Dmitriy

“…The processes considered in this paper were qualified as control processes of computing operations providing monitoring of the situation adding in the local water area and connected to relocation of different ships classes (further the active mobile objects (AMO)). …”
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Embedded vision systems for ship recognition by Sha'meri, Ahmad Zuri, A. Zabidi, Muhammad M., Mustapa, Jefri, M. Mokji, Musa, Marsono, Muhaammad Nadzir

“…We achieved accuracies of close to 80% using the KStar and multilayer perceptron classifiers in recognizing one of four ship classes.…”

Accurate Ship Detection Using Electro-Optical Image-Based Satellite on Enhanced Feature and Land Awareness by Sang-Heon Lee, Hae-Gwang Park, Ki-Hoon Kwon, Byeong-Hak Kim, Min Young Kim, Seung-Hyun Jeong

“…The database includes five ship classes. Therefore, a method focused on improving the accuracy of various ships is proposed. …”
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ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image by Munhyeong Kim, Jongmin Jeong, Sungho Kim

“…Comparing the method proposed in this paper to the original YOLOv5, the performance improvement for the mAP was 6.9% when using the VEDAI dataset, 5.4% when detecting small cars in the xView dataset, 2.7% when detecting small vehicle and small ship classes from the DOTA dataset, and approximately 2.4% when finding small cars in the Arirang dataset.…”
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S2S-Sim: A Benchmark Dataset for Ship Cooperative 3D Object Detection by Wenbin Yang, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie, Junxi Chen

“…The dataset comprises three typical ship navigation scenarios, including ports, islands, and open waters, featuring common ship classes such as container ships, bulk carriers, and cruise ships. …”
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Ship Recognition for SAR Scene Images under Imbalance Data by Ronghui Zhan, Zongyong Cui

“…Then, taking into account the issue that there are high similarities among various SAR ship classes, the squeeze-and-excitation (SE) module is introduced for amplifying the difference features as well as reducing the similarity features. …”
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A Real-Time Ship Detector via a Common Camera by Penghui Zhao, Xiaoyuan Yu, Zongren Chen, Yangyan Liang

“…However, compared with detectors applied in inland transportation, the lack of fast ship detectors, detecting multiple ship classes, is non-negligible. To fill this gap, we propose a real-time ship detector based on fast U-Net and remapping attention (FRSD) via a common camera. …”
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A Transfer Learning and Optimized CNN Based Maritime Vessel Classification System by Mostafa Hamdy Salem, Yujian Li, Zhaoying Liu, Ahmed M. AbdelTawab

“…This method can also be used for other ship classes. The proposed method consists of four phases for the boosting of classification accuracy for Intelligent Transport Systems (ITS) based on convolutional neural networks (CNNs); efficient augmentation method, the hyper-parameter optimization (HPO) technique for optimum CNN model parameter selection, transfer learning, and ensemble learning are suggested. …”
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Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific Meta-Learning with Mixed Training and Meta Embedding by Yingying Kong, Yuxuan Zhang, Xiangyang Peng, Henry Leung

“…The proposed method is evaluated based on an actual measured HRRP dataset and the experimental results prove that the proposed method can more accurately recognize the unknown ship classes with a small number of labels by learning the known classes of ships. …”
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VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications by Serdar Kızılkaya, Ugur Alganci, Elif Sertel

“…We focused on sixteen parent ship classes for the DLR stages, and specifically considered eight child classes of the navy parent class at the identification stage. …”
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A Meta-Analysis to Understand the Variability in Reported Source Levels of Noise Radiated by Ships From Opportunistic Studies by Clément Chion, Dominic Lagrois, Jérôme Dupras

“…A Generalized Linear Mixed Model was applied to the dataset to statistically assess the contribution of intrinsic (i.e., related to ships' static and dynamic attributes) and extrinsic factors (i.e., related to both the protocol for hydroacoustic data acquisition and the noise data reduction procedure) to the reported broadband source levels.Results: Amongst intrinsic factors, ships' speed-over-ground (15.39 dB ×log10[v1 knot], p−value < 0.001), ships' width (12.03 dB ×log10[b1 m];p−value < 0.001), and ships' class (−6.07 to 2.08 dB; p-value ∈ [< 0.001 to 0.036]) have shown the strongest correlations with broadband source levels. …”
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