2022
DOI: 10.1007/s10515-021-00304-y
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Gradient contouring and texture modelling based CAD system for improved TB classification

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Cited by 8 publications
(4 citation statements)
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“…Include importing hull surfaces, deck generation, stiffener arrangements, and openings. To input the hull surface, it is necessary to obtain the relevant information such as the ship hull size, perform diffraction transformation on the size data to generate the hull surface, and input it into the computeraided system [18]. e generation of the deck needs to determine the deck parameters such as thickness, start and end rib, and height.…”
Section: D Structural Design Of Shipsmentioning
confidence: 99%
“…Include importing hull surfaces, deck generation, stiffener arrangements, and openings. To input the hull surface, it is necessary to obtain the relevant information such as the ship hull size, perform diffraction transformation on the size data to generate the hull surface, and input it into the computeraided system [18]. e generation of the deck needs to determine the deck parameters such as thickness, start and end rib, and height.…”
Section: D Structural Design Of Shipsmentioning
confidence: 99%
“…Pikina et al analyzed and introduced the evaluation criteria, entropy, and exergy of heat exchangers based on the second law of thermodynamics and studied their applications and connections [7]. Rajeswari et al proposed a thermal design method based on the optimization of the comprehensive performance of the heat exchanger, which fully considered the structure, size, performance of the heat exchange process of the heat exchanger, and the optimal relationship between them; a heat exchanger with low structural cost, low operating cost, and good heat transfer performance was obtained [8]. The entropy production reflects the understanding of the irreversible dissipation of the heat transfer process.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It solves the problem of the reuse of 3D shape models with similar shape features and has become a research hotspot after text retrieval, image retrieval, video retrieval, arti cial intelligence, computer vision, pattern recognition, and other elds. 3D shape retrieval mainly includes the following three steps: preprocessing, 3D shape feature extraction, and similarity comparison [1]. As the core technology of 3D shape retrieval, the research of 3D shape feature extraction technology has been a research hotspot in recent years.…”
Section: Introductionmentioning
confidence: 99%