Convolutional Neural Networks for Automatic Identification of Individuals at Terrestrial Terminals
The objective of this study was to develop an automated system for the identification of wanted individuals in terrestrial terminals using Convolutional Neural Networks (CNN). The research was conducted under a quantitative approach and a quasi-experimental design. A private dataset, intended for ed...
Saved in:
| Main Authors: | Darwin Yarango-Farro, Alex Mondragon-Fernandez, Heber I. Mejia-Cabrera, Juan Arcila-Diaz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10974742/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PENGARUH DIAMETER NOZZLE DAN PANJANG CABLE TERHADAP CYCLE TIME PADA MESIN AUTOMATIC CABLE TERMINAL YANG DIMODIFIKASI
by: Muhammad Ubaidillah, et al.
Published: (2025-05-01) -
Classification of Automatic Subtitling Tools. A Proposal
by: Cristina VARGA
Published: (2023-10-01) -
The grey-zones of public-private surveillance: Policy tendencies of facial recognition for public security in Brazilian cities
by: André Ramiro, et al.
Published: (2023-03-01) -
The model is a reprint of an object in the image
by: A. A. Kulikov
Published: (2020-06-01) -
Automatic Connection of Virtual Circuits in Smart Substations Based on Chaotic Two-Dimensional Mapping Sine and Cosine Algorithm
by: Guofeng JIN, et al.
Published: (2024-08-01)