Ocid Mursid

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Artificial intelligence-based ship hull plate corrosion monitoring using Convolutional Neural Network (CNN): comparison of YOLOv8 and Detectron2 architecture models
Tuswan, T., Veda, K. A. B., Chrismianto, D., Mursid, O., Adam, S., Prabowo, A. R. & Nubli, H., 2 Sept 2024, (E-pub ahead of print) In: Ship Technology Research. p. 1-11 11 p.
Research output: Contribution to journal › Article › peer-review
Numerical investigations of deckhouse height to the self-righting moment of the patrol boat
Trimulyono, A., Tuswan, T., Taqi, H. F. M., Manik, P., Rindo, G., Samuel, S., Mursid, O. & Iqbal, M., 27 Aug 2024, In: Designs. 8, 5, 15 p., 86.
Research output: Contribution to journal › Article › peer-review

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Ocid Mursid

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Collaborations and top research areas from the last five years

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Artificial intelligence-based ship hull plate corrosion monitoring using Convolutional Neural Network (CNN): comparison of YOLOv8 and Detectron2 architecture models

Numerical investigations of deckhouse height to the self-righting moment of the patrol boat

Ocid Mursid

Fingerprint

Collaborations and top research areas from the last five years

Research output

Artificial intelligence-based ship hull plate corrosion monitoring using Convolutional Neural Network (CNN): comparison of YOLOv8 and Detectron2 architecture models

Numerical investigations of deckhouse height to the self-righting moment of the patrol boat