The preliminary study of artificial intelligence based on convolutional neural network as a corrosion detection tool on ship structures
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- Type
- article
- Published
- 2023-01-01
- Cited by
- 5
- References
- 19
- OpenAlex
- https://openalex.org/W4321444604
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:257124851
Keywords
Icon, Convolutional neural network, Citation, Computer science, Information retrieval
References
- A STUDY ON LIFE ASSESSMENT OF SHIPS AND OFFSHORE STRUCTURES, 3RD REPORT: CORROSION CONTROL AND CONDITION EVALUATION FOR A LONG LIFE SERVICE OF THE SHIP
- Corrosion: Understanding The Basics
- Risk-informed life-cycle optimum inspection and maintenance of ship structures considering corrosion and fatigue
- Highly optimized implementation of OpenCV for the Cell Broadband Engine
- A study of container ship structures' ultimate strength under corrosion effects
- CNN Design for Real-Time Traffic Sign Recognition
- Face recognition based on convolutional neural network
- Case studies on the probabilistic characteristics of ultimate strength of stiffened panels with uniform and non-uniform localized corrosion subjected to uniaxial and biaxial thrust
- Mutual variation of information on transfer-CNN for face recognition with degraded probe samples
- Artificial intelligence-based hull structural plate corrosion damage detection and recognition using convolutional neural network
- Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network
- Autonomous Traffic Sign (ATSR) Detection and Recognition using Deep CNN
- The algorithm development for operation of a computer vision system via the OpenCV library
- Adversarial examples for replay attacks against CNN-based face recognition with anti-spoofing capability
- An advanced technique to predict time-dependent corrosion damage of onshore, offshore, nearshore and ship structures: Part II = Application to the ship’s ballast tank
- Analysis of Inspection Scheduling Program on Condensate Atmospheric Storage Tank Using Risk Based Inspection
- DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements
- Real-time defect identification of narrow overlap welds and application based on convolutional neural networks
- The Combination of Reliability and Predictive Tools to Determine Ship Engine Performance based on Condition Monitoring
Cited by
- A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
- Visual Corrosion Inspection, Evaluation, and Repair Procedure for Ship Tanks Navigating the Mediterranean Sea
- Artificial intelligence-based ship hull plate corrosion monitoring using Convolutional Neural Network (CNN): comparison of YOLOv8 and Detectron2 architecture models
- A critical analysis of machine learning in ship, offshore, and oil & gas corrosion research, part I: Corrosion detection and classification
- Ship structure corrosion detection using advanced image processing, active contour algorithm, and parallel processing
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