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.

• Optimisation of PID control for tobacco feeding rail based on convolutional neural network
• Track and field sports skill recognition based on multimodal sensing data
• Multi-objective optimisation of cigarette tobacco leaf blend formulation based on sensory-chemical correlation and machine learning
• An athlete motion recognition model based on machine learning and the internet of things
• Multi-instrument polyphonic automatic transcription method combining gated recurrent units and DeepLabv3+ model