Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Cross-lingual sentiment analysis for low-resource languages via semantic alignment and transfer learning
• Optimisation of art image style migration algorithms based on deep neural networks
• Construction of an adaptive model for English learning tasks based on cognitive diagnosis in a smart classroom
• Deep learning-driven real-time rendering technology for film and television animation special effects
• Real-time feedback system for English listening comprehension using speech recognition and synthesis
• Morphology extraction from blurred image targets via deep multi-class modelling