Deriving Machine to Machine (M2M) Traffic Model from Communication Model
Conference Proceeding
Barakat, B., Keates, S., Arshad, K., & Wassell, I. J. (2019)
Deriving Machine to Machine (M2M) Traffic Model from Communication Model. In The Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT 2018), (27-31). https://doi.org/10.1109/ISIICT.2018.8613727
The typical traffic models proposed in literature can be considered as heuristic models since they only reflect the stochastic characteristic of the generated traffic. In this...
The benefits of contextual information for speech recognition systems
Conference Proceeding
Kinch, M. W., Melis, W. J., & Keates, S. (2018)
The benefits of contextual information for speech recognition systems. In The 10th Computer Science and Electronic Engineering Conference (CEEC)https://doi.org/10.1109/CEEC.2018.8674204
This paper demonstrates the significance of using contextual information in machine learning and speech recognition. While the benefits of contextual information in human comm...