English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm
Natural Language Processing (NLP) is a technology that permits computers to recognize human languages. Words are the fundamental unit of analysis in deep-level grammatical and semantic analysis. The main goal of NLP is typically word segmentation. Since the machine learning techniques cannot be dire...
Saved in:
| Main Author: | Fei Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2327908 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Generation of Seismocardiography Heartbeats Using a Wasserstein Generative Adversarial Network With Feature Control
by: James Skoric, et al.
Published: (2025-01-01) -
A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation
by: Xiurong Zhang, et al.
Published: (2024-12-01) -
WGCAMNet: Wasserstein Generative Adversarial Network Augmented and Custom Attention Mechanism Based Deep Neural Network for Enhanced Brain Tumor Detection and Classification
by: Fatema Binte Alam, et al.
Published: (2024-09-01) -
Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand
by: Iman Seyedi, et al.
Published: (2025-06-01) -
Optimizing RWIS Locations with Wasserstein Distance and Geostatistics: A Case Study in South Korea
by: Nancy Huynh, et al.
Published: (2025-03-01)