Free 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.

• Neural differential equations based diffusion models for high-jump posture prediction
• Convergence criteria for iterative formats in high-dimensional optimisation problems discretised from mathematical partial differential equations
• Federated contrastive learning framework for cross-platform teaching quality assessment
• Multi-element animation generation via memory-augmented self-supervised learning and mixture density networks
• Sentiment analysis of English social media based on transfer learning and semantic enhancement