A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems

Research article (Concurrency and Computation Practice and Experience, 2023) · cited 41× · AI/ML
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A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems

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A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems is a scholarly article[1].

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  • A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-locationdependent-ultra-convolutional-neural-networkbased-vehicle-number-plate-recognition-approach-for-intelli
MLA “A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-locationdependent-ultra-convolutional-neural-networkbased-vehicle-number-plate-recognition-approach-for-intelli.
BibTeX @misc{4ortxyz_a-hybrid-locationdependent-ultra-convolutional-neural-networkbased-vehicle-number-plate-recognition-approach-for-intelli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-locationdependent-ultra-convolutional-neural-networkbased-vehicle-number-plate-recognition-approach-for-intelli}, note = {Accessed: 2026-05-24}}
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