Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
With the increased threat of terrorism and identity theft, human recognition is one of the basic elements of present era’s security applications installed in commercial malls, banks, hospitals, military installations, airports, religious places etc. The basic aim of this researchstudy is to design a...
Автори: | Tariq, Waqar, Daud, Muhammad Lutfi, Akhtar, Shameem, Tariq, Fareeha |
---|---|
Формат: | Стаття |
Опубліковано: |
Science Publishing Corporation
2019
|
Схожі ресурси
Схожі ресурси
-
Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks
за авторством: Omer Akgun, та інші
Опубліковано: (2018-01-01) -
Design and implementation challenges of energy saving projects in underdeveloped countries and their perspective solutions in the light of project management principles - a review
за авторством: Tariq, Waqar, та інші
Опубліковано: (2018) -
The Human Gait Recognition using an Enhanced Convolutional Neural Network
за авторством: Fatima Esmail, та інші
Опубліковано: (2024-07-01) -
Melanoma identification and classification model based on fine-tuned convolutional neural network
за авторством: Maram F Almufareh, та інші
Опубліковано: (2024-05-01) -
Comparison Between Face and Gait Human Recognition Using Enhanced Convolutional Neural Network
за авторством: Fatima Esmail Sadeq, та інші
Опубліковано: (2023-12-01)