A Hybrid KAN-BiLSTM Transformer with Multi-Domain Dynamic Attention Model for Cybersecurity
With the exponential growth of cyberbullying cases on social media, there is a growing need to develop effective mechanisms for its detection and prediction, which can create a safer and more comfortable digital environment. One of the areas with such potential is the application of natural language...
Saved in:
| Main Authors: | Aleksandr Chechkin, Ekaterina Pleshakova, Sergey Gataullin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Technologies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7080/13/6/223 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ALBERT-BiLSTM cross-attention network with progressive knowledge distillation for multi-domain SMS spam classification
by: B.S. Aparna, et al.
Published: (2025-09-01) -
Modeling Stylized Facts in FX Markets with FINGAN-BiLSTM: A Deep Learning Approach to Financial Time Series
by: Dong-Jun Kim, et al.
Published: (2025-06-01) -
BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis
by: Anas W. Abulfaraj
Published: (2025-01-01) -
Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models
by: Mengkai Chen, et al.
Published: (2025-08-01) -
Speaker Age and Gender Estimation Based on Deep Learning Bidirectional Long-Short Term Memory (BiLSTM)
by: Aalaa Ahmed Mohammed, et al.
Published: (2021-07-01)