Search alternatives:
process detection » process reflection (Expand Search), protein detection (Expand Search), stress detection (Expand Search)
b optimization » _ optimization (Expand Search), bboa optimization (Expand Search), fox optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
process detection » process reflection (Expand Search), protein detection (Expand Search), stress detection (Expand Search)
b optimization » _ optimization (Expand Search), bboa optimization (Expand Search), fox optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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The triangulation process of 2D points and lines.
Published 2024“…In outdoor scenarios, the proposed algorithm exhibited a 14.51% accuracy improvement over a vision-based algorithm without closed-loop detection. …”
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OMFF-SLAM algorithm process.
Published 2024“…In outdoor scenarios, the proposed algorithm exhibited a 14.51% accuracy improvement over a vision-based algorithm without closed-loop detection. …”
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Process diagram of IMS-VSLAM algorithm.
Published 2024“…In outdoor scenarios, the proposed algorithm exhibited a 14.51% accuracy improvement over a vision-based algorithm without closed-loop detection. …”
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Comparative discussion based on routing.
Published 2023“…Here, CSJSO is the amalgamation of CAViar Squirrel Search Algorithm (CSSA) and Jellyfish Search Optimization (JSO), where CSSA is blended by the Conditional Autoregressive Value-at-Risk (CAViar) and Squirrel Search Algorithm (SSA). …”
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Inspection of Line Defects in Transition Metal Dichalcogenides Using a Microscopic Hyperspectral Imaging Technique
Published 2022“…A light selection method was proposed to optimize the optical contrast of line defects. Via application of an image processing algorithm, an automatic detection of the line defects with a classification accuracy of 95% was achieved for WS<sub>2</sub>, MoS<sub>2</sub>, and MoSe<sub>2</sub>. …”
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