A Fall Risk Detection Model for Infants While Sleeping based on Convolutional Neural Networks
Falling from a bed is a common problem among infants, often leading to serious injuries such as head trauma, fractures, and even long-term neurological damage. According to data from the World Health Organization (WHO), falls are a leading cause of unintentional injuries among children, especially i...
Saved in:
Main Authors: | Acep Hendra, Handoko Supeno |
---|---|
Format: | Article |
Language: | Indonesian |
Published: |
Islamic University of Indragiri
2024-11-01
|
Series: | Sistemasi: Jurnal Sistem Informasi |
Online Access: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4644 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Convolutional neural networks for diabetic retinopathy detection
by: Darwin Patiño-Pérez, et al.
Published: (2025-01-01) -
Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments
by: Zhihong Cui, et al.
Published: (2018-01-01) -
An intrusion detection model based on convolution neural network for Internet of vehicles
by: ZHANG Rui
Published: (2024-12-01) -
CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network
by: Guojie Liu, et al.
Published: (2020-01-01) -
Attention-Based Convolutional Neural Network for Pavement Crack Detection
by: Haifeng Wan, et al.
Published: (2021-01-01)