A file archival integrity check method based on the BiLSTM + CNN model and deep learning
Validating and integrity-checking archives ensures that files are authentic, trustworthy, and usable. In the age of digital technology, historical records must be genuine. Researching in archives raises ethical issues while having little to do with individuals. Traditional archive integrity solution...
Saved in:
Main Authors: | Jinxun Li, Tingjun Wang, Chao Ma, Yunxuan Lin, Qing Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Egyptian Informatics Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866524001609 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection
by: Xiaoshuai Cao, et al.
Published: (2025-01-01) -
A Semantic-Context Embedding Enhanced Attention Fusion BiLSTM: Unraveling Multilingual Sentiments in Product Reviews with Advanced Deep Learning
by: Amit Purohit, et al.
Published: (2024-01-01) -
Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network
by: Yonghao He, et al.
Published: (2025-01-01) -
Relation extraction based on CNN and Bi-LSTM
by: Xiaobin ZHANG, et al.
Published: (2018-09-01) -
Ultra-short-term wind-power forecasting based on an optimized CNN–BILSTM–attention model
by: Weilong Yu, et al.
Published: (2024-12-01)