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Fish body midline segmentation using binary search

delete2026-04-22
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OA
AI
R
Robert Sterling
E
Elsa Goerig
M
Maxim Buzdalov
T
Theodore Castro-Santos
O
Otar Akanyeti *
DOI:10.1016/j.compag.2026.111789delete
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Abstract

Abstract

En 中文
• Introduces a binary search algorithm for joint placement in spatiotemporal curvature analysis. • Provides theoretical runtime analysis of the proposed algorithm. • Approximates fish midlines using parsimonious segment models under error limits. • Up to four-fold faster than conventional linear search methods. • Achieves >97% agreement with optimal dynamic programming solutions.
Keywords:
Kinematic models
Fish robots
Multi-segment model
Undulatory kinematics
Biomechanics
Conservation
Fisheries
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computers and Electronics in Agriculture cover
Computers and Electronics in Agriculture
IF:
8.9
Papers:
1.0W
Citations:
4.8W

Organization

U
u.s. geological survey
Scholars:
588
Papers: 232
Citations: 0
H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
A
aberystwyth university
Scholars:
41
Papers: 21
Citations: 0
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