Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation

Research article (Journal Of Big Data, 2021) · cited 155× · AI/ML
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Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation

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Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-and-best-parameters-selection-for-person-recognition-based-on-gait-model-using-cnn-algorithm-and-image-augmenta
MLA “Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-and-best-parameters-selection-for-person-recognition-based-on-gait-model-using-cnn-algorithm-and-image-augmenta.
BibTeX @misc{4ortxyz_analysis-and-best-parameters-selection-for-person-recognition-based-on-gait-model-using-cnn-algorithm-and-image-augmenta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-and-best-parameters-selection-for-person-recognition-based-on-gait-model-using-cnn-algorithm-and-image-augmenta}, note = {Accessed: 2026-05-24}}
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