ConvNeXt network with transfer learning for cumulative foot pressure images recognition
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-01759-4.pdf
Reference34 articles.
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3. Iskandar A, Alfonse M, Roushdy M, El-Horabty E (2023) A comparative study of the different features engineering techniques based on the sensor used in footstep identification and analysis using the floor-based approach. Int J Intell Comput Inf Sci 23(4):66–95. https://doi.org/10.21608/ijicis.2023.249378.1307
4. Iskandar A, Alfonse M, Roushdy M, El-Horabty E (2024) Biometric systems for identification and verification scenarios using spatial footsteps components. Neural Comput Appl. https://doi.org/10.1007/s00521-023-09390-3
5. Costilla-Reyes O, Vera-Rodriguez R, Alharthi A, Yunas S, Ozanyan K (2020) Deep learning in gait analysis for security and healthcare. In: Pedrycz W, Chen SM (eds) Deep learning: algorithms and applications studies in computational intelligence, vol 865. Springer, Cham. https://doi.org/10.1007/978-3-030-31760-7_10
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