Modern telecommunication networks are designed for high reliability; however, when they do fail or encounter performance degradation, it is difficult to detect and diagnose problems in a timely man
An unsupervised template bootstrapping procedure has been implemented for use in a connected speech recognition system in which words are represented as sequences of diphone-like sub-word units.
This paper describes an unsupervised procedure for the construction of template sets for connected speech recognition.
Despite significant advances in the performance of sensory inference models, their poor robustness to changing environmental conditions and hardware remains a major hurdle for widespread adoption.
This letter demonstrates the use of unsupervised machine learning to enable performance self-diagnosis of next-generation cellular networks.
In this paper, we address the problem of unsupervised (blind) space-time equalization of frequency-selective multiple-input multiple-output (MIMO) channels.
This paper shows how data mining and in particular graph mining and clustering can help to tackle difficult tracking problems such as tracking possibly multiple objects in a video with a moving cam
Organic field-effect transistors have been fabricated from novel naphthalenetetracarboxylic diimides with unsymmetrical substitution.
N-amino-N'-alkylnaphthalenetetracarboxylic diimides were investigated as thin film n-channel transistor semiconductors.
An infrared study of the phonon spectra of ZrW2O8 as a function of temperature which includes the low energy (2-10meV ) region relevant to negative thermal expansion is reported and discussed in th
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AI-enhance wireless reliability: joint source and channel coding for robust 6G air interface
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